Sentence Similarity
sentence-transformers
Safetensors
English
esm
feature-extraction
protein
esm2
biology
Instructions to use GrimSqueaker/ProtSent-V2.5-35M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GrimSqueaker/ProtSent-V2.5-35M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GrimSqueaker/ProtSent-V2.5-35M") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_pooling_layer": false, | |
| "architectures": [ | |
| "EsmModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "attn_backend": "sdpa", | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "emb_layer_norm_before": false, | |
| "eos_token_id": 2, | |
| "esmfold_config": null, | |
| "fastplms_checkpoint_hash": "c51b89a1d91519690c6b837398717b45d07f15e54593ca66aebad9a527fc15a9", | |
| "fastplms_checkpoint_repo_id": "Synthyra/ESM2-35M", | |
| "fastplms_checkpoint_revision": "37ab9f56b41e365b3bd9e25d6fefe9150fd910f0", | |
| "fastplms_model_id": "esm2_35m", | |
| "fastplms_release_tool_revision": "e6dd397a9ad368c998d714f6bd64d40b533d1ed1", | |
| "fastplms_release_tool_sha256": "6d335c05aa49a232086a816deb25d248d1490529e5783acc3355b9bc6f03e0c2", | |
| "fastplms_runtime_bundle_sha256": "f22353ef386f607784889dc303488a2dc5e99b009a5e423ab3eff1f1eb03a9a4", | |
| "fastplms_runtime_revision": "e6dd397a9ad368c998d714f6bd64d40b533d1ed1", | |
| "fastplms_source_tree_sha256": "818bf2bf5f573adc842b55f4f8feff926ddc25f904c5769ff5c382077d3a78a2", | |
| "fastplms_weights_revision": "37ab9f56b41e365b3bd9e25d6fefe9150fd910f0", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 480, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1920, | |
| "is_folding_model": false, | |
| "layer_norm_eps": 1e-05, | |
| "mask_token_id": 32, | |
| "max_position_embeddings": 1026, | |
| "model_type": "esm", | |
| "num_attention_heads": 20, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "rotary", | |
| "tie_word_embeddings": false, | |
| "token_dropout": true, | |
| "transformers_version": "5.14.1", | |
| "use_cache": false, | |
| "vocab_list": null, | |
| "vocab_size": 33 | |
| } |