Feature Extraction
Transformers
Safetensors
fast_esmfold
protein-language-model
fastplms
custom_code
Instructions to use Synthyra/FastESMFold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/FastESMFold with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Synthyra/FastESMFold", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Synthyra/FastESMFold", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "files": { | |
| "LICENSES/FastPLMs-Apache-2.0.txt": "sha256:2d2b50c7b1414bff1189a1db1f0cfb92e3e064b50f4c2b1019827b683e1b629a", | |
| "LICENSES/fair-esm/LICENSE": "sha256:da6d3703ed11cbe42bd212c725957c98da23cbff1998c05fa4b3d976d1a58e93", | |
| "LICENSES/fair-esm/PROVENANCE.md": "sha256:950adb94daf15e646ddf226dacfe2a8e77801aa0793e439a9a3490a48eb666e7", | |
| "LICENSES/openfold/LICENSE": "sha256:cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30", | |
| "LICENSES/openfold/MODIFICATIONS.md": "sha256:fd6f0aa1086a0c996cf967b326d18e965660cda0ad5c7f36a3474a8490720da3", | |
| "LICENSES/openfold/PROVENANCE.md": "sha256:48c903db43a217a3126afaefbac60b7ddac7efda2dfcc0cbff0bffc7d6c30081", | |
| "README.md": "sha256:578d1eca99c24e5e6f0ad6721fe344e4a0e84992030cc9477ebb767b18532c82", | |
| "THIRD_PARTY_NOTICES.md": "sha256:25704b3c76404696cae52e7fca13088d329f70f412687340351259e86cd62baa", | |
| "config.json": "sha256:d32b8505ccd23422e3b67dabbcdd2d7c4b505cd1386c07342036b57cfd6cfdce", | |
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| "fastplms/embeddings/storage.py": "sha256:3fbe2bab75092e5a4cadf4d27e4752181d597469a65a55db085ceef808ed418e", | |
| "fastplms/embeddings/types.py": "sha256:119718a20989d1ae5a60fabc0f5e98bdc172c5163b04db3d4554ac3956b30e52", | |
| "fastplms/models.toml": "sha256:1b0d92911222f31b435bfee80251c9abe20b85392d65f8af8d285d1ccfbbc3c5", | |
| "fastplms/models/__init__.py": "sha256:5e48c2cb3877aa6f42f3b5411d53b16bba2e32827bbde634f47f174c5cb36f86", | |
| "fastplms/models/_esm_rotary.py": "sha256:4dcee8af74adf2cfcabeeaadf4915f1da5fb6c0672d583bf3ee5478ac1290805", | |
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| "fastplms/models/esmfold/modeling_fast_esmfold.py": "sha256:8c1d353f3203d8e6bfea6637463cb38da9e18b13ad6f60c672f213f5af4c2194", | |
| "fastplms/registry.py": "sha256:afca271911b651a882345b74a58366494a1d784e4a48c8683a87f5508f4ba16e", | |
| "fastplms/runtime.py": "sha256:110018646d6f248cedab140a030c3065e1b062b61f6aff659c231e538614bc01", | |
| "fastplms_bundle.py": "sha256:b3d35ed70588b9cc5aeb3fc30828b6ca8b4280720a6564990fd63048ee300230", | |
| "modeling_fastplms.py": "sha256:bbeabe795fd09dc3e99804caa397a24b6ffcc03a92ec4ffc13f74572ecfeea52", | |
| "special_tokens_map.json": "sha256:5f89dfed5b1bcb31b03a93b608b8c7fc5ac8465f2f4b839f6f6f4aa87d683407", | |
| "tokenizer_config.json": "sha256:01218ac34c07219089c4c5de01c3196cc44bd0bb9cc08ae3777c1a6712ce2be6", | |
| "vocab.txt": "sha256:927f51c652e9367fc6a8403c1993df3633df51d79df602ce1c207bf68ad4d867" | |
| }, | |
| "model_id": "esmfold", | |
| "redistributable": true, | |
| "release_tool_revision": "95691a87c781f052f65b6ab3ca99dfce4ebb59c7", | |
| "release_tool_sha256": "19b4247aba04a74de5069397518374ab2c3b9e0ce18ba9f36de34f0f4c5d1ceb", | |
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| "runtime_revision": "95691a87c781f052f65b6ab3ca99dfce4ebb59c7", | |
| "schema_version": 2, | |
| "scope": "runtime-only", | |
| "source_tree_sha256": "6dbdf570cd69776d3f0239168f6388b979affda62c6ba4c78e2d9fac1d81bd6d", | |
| "weights": { | |
| "repo_id": "Synthyra/FastESMFold", | |
| "revision": "b88c8cb50d19b2cf7ab4fee4b0a61f5e02da7823" | |
| }, | |
| "weights_license_status": "resolved" | |
| } | |