Feature Extraction
sentence-transformers
Safetensors
English
qwen3
sentence-similarity
text-embedding
text-embeddings-inference
Instructions to use KiteFishAI/Nano-Em1-0.6B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use KiteFishAI/Nano-Em1-0.6B-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KiteFishAI/Nano-Em1-0.6B-v2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- 1_Pooling/config.json +5 -0
- config.json +64 -0
- config_sentence_transformers.json +14 -0
- model.safetensors +3 -0
- modules.json +14 -0
- sentence_bert_config.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +37 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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1_Pooling/config.json
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{
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"embedding_dimension": 1024,
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"pooling_mode": "lasttoken",
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"include_prompt": true
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}
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config.json
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{
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"architectures": [
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"Qwen3Model"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_causal": false,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.9.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"pytorch": "2.11.0+cu130",
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"sentence_transformers": "5.5.1",
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"transformers": "5.9.0"
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},
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"default_prompt_name": null,
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"model_type": "SentenceTransformer",
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"prompts": {
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"document": "",
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"query": ""
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},
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"similarity_fn_name": "cosine"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:17329abaf02c0286c83e6e79c9e5ae8448db2e027ff693b9edfb320f893e2821
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size 1192133232
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.base.modules.transformer.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling"
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}
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]
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sentence_bert_config.json
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{
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"transformer_task": "feature-extraction",
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"modality_config": {
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"text": {
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"method": "forward",
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"method_output_name": "last_hidden_state"
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},
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"message": {
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"method": "forward",
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"method_output_name": "last_hidden_state",
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"format": "flat"
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}
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},
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"module_output_name": "token_embeddings"
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:508635c756562e715417f4480d287917c332083cee37d2afca7f9b623fce55d9
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size 11422916
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"is_local": true,
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"local_files_only": false,
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"max_length": 512,
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"model_max_length": 512,
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"pad_to_multiple_of": null,
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"pad_token": "<|endoftext|>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"split_special_tokens": false,
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"stride": 0,
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"tokenizer_class": "Qwen2Tokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": null
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}
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