Instructions to use sharkMeow/train_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharkMeow/train_V2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("sharkMeow/train_V2") model = AutoModel.from_pretrained("sharkMeow/train_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13600
Browse files- config.json +31 -3
- model.safetensors +1 -1
- training_args.bin +2 -2
config.json
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{
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"_name_or_path": "OFA-Sys/chinese-clip-vit-base-patch16",
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"architectures": [
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"ChineseCLIPDualTextModel"
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],
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"model_type": "chinese_clip",
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"projection_dim": 512,
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"text_config": {
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"architectures": [
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"ChineseCLIPTextModel"
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],
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"bos_token_id": 0,
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"directionality": "bidi",
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"eos_token_id": 2,
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"model_type": "chinese_clip_text_model",
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"output_past": true,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"vocab_size": 21128
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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"vision_config": {
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"dropout": 0.0,
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"model_type": "chinese_clip_vision_model",
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"
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}
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}
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{
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"architectures": [
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"ChineseCLIPDualTextModel"
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],
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"model_type": "chinese_clip",
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"projection_dim": 512,
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"text_config": {
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"_attn_implementation_autoset": true,
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"architectures": [
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"ChineseCLIPTextModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"directionality": "bidi",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "chinese_clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 21128
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},
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"torch_dtype": "float32",
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"transformers_version": "4.50.0",
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"vision_config": {
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"attention_dropout": 0.0,
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"dropout": 0.0,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"image_size": 224,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"model_type": "chinese_clip_vision_model",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"projection_dim": 512,
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"torch_dtype": "float32"
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}
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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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size 816611916
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version https://git-lfs.github.com/spec/v1
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size 816611916
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 5368
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