Feature Extraction
sentence-transformers
Safetensors
Transformers
Russian
English
t5
mteb
Eval Results (legacy)
Instructions to use LeoCristt/hackathon-embedding-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LeoCristt/hackathon-embedding-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LeoCristt/hackathon-embedding-model") 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] - Transformers
How to use LeoCristt/hackathon-embedding-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LeoCristt/hackathon-embedding-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LeoCristt/hackathon-embedding-model") model = AutoModel.from_pretrained("LeoCristt/hackathon-embedding-model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "T5EncoderModel" | |
| ], | |
| "bos_token_id": 1, | |
| "classifier_dropout": 0.0, | |
| "d_ff": 4096, | |
| "d_kv": 64, | |
| "d_model": 1536, | |
| "decoder_start_token_id": 0, | |
| "dense_act_fn": "gelu_new", | |
| "dropout_rate": 0.1, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "feed_forward_proj": "gated-gelu", | |
| "gradient_checkpointing": false, | |
| "initializer_factor": 1.0, | |
| "is_encoder_decoder": false, | |
| "is_gated_act": true, | |
| "layer_norm_epsilon": 1e-06, | |
| "model_type": "t5", | |
| "num_decoder_layers": 24, | |
| "num_heads": 24, | |
| "num_layers": 24, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "relative_attention_max_distance": 128, | |
| "relative_attention_num_buckets": 32, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "4.57.0", | |
| "use_cache": false, | |
| "vocab_size": 93651 | |
| } | |