Instructions to use Synthyra/ESM2-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESM2-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESM2-3B", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESM2-3B", 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", | |
| "README.md": "sha256:1775e5fe2c71285b4c5c8b8af9adbe0e4694b90d3922069b52ae5852fa74482a", | |
| "THIRD_PARTY_NOTICES.md": "sha256:25704b3c76404696cae52e7fca13088d329f70f412687340351259e86cd62baa", | |
| "config.json": "sha256:147c67ca43b3a952ab393892a953a5be4a1bc61c2d89713d280f0a09144ba730", | |
| "fastplms/__init__.py": "sha256:8503e02debf24abc6d33c1913ff3eb9f245e63f7e62017e220d072c7393fdf2c", | |
| "fastplms/attention/__init__.py": "sha256:ab3c0b6156968f418f3c97ea664959cb978f4137717b4362213bcfe25ab5e3d6", | |
| "fastplms/attention/_core.py": "sha256:09d0f71a5ea2ad2138c9441f6a2f72bbf8e72729be41d8db737b163f36ce47da", | |
| "fastplms/attention/_kernel_lock.py": "sha256:56455eb57cee9af08438eda52b775c9cff3cf994cadb9b116ce2ee10fd5f1801", | |
| "fastplms/attention/interfaces.py": "sha256:6562a342961022fc2848d7004bd01fddaf8be8e08e782d0856e5c30a74232623", | |
| "fastplms/embeddings/__init__.py": "sha256:cf0648de905a00ad16c0aece328eeb05f25739a4cf89b47b915e0f2b19c3ce26", | |
| "fastplms/embeddings/pooling.py": "sha256:9bed8c466fce053333de9e25b04d1ab304f2954f403ffa0f5a3c749e8277b3ce", | |
| "fastplms/embeddings/runner.py": "sha256:a7839763ad641a63d0e2671dcf34aa7b2a8114198950b64254188521b27453a8", | |
| "fastplms/embeddings/storage.py": "sha256:98cf725d26766f32300f105345129ca6cf02ebd10628e746a7e71e107bc911a6", | |
| "fastplms/embeddings/types.py": "sha256:c58f8c6a37a11a937c3f77b4e1617d5f213923d98ecaffddcdd283bd9dc42fe7", | |
| "fastplms/kernels.lock": "sha256:8e274e6f8f25fe272d95bb42849f672ebb897a67511e82be2b86c2a4b4962cdd", | |
| "fastplms/models.toml": "sha256:1b0d92911222f31b435bfee80251c9abe20b85392d65f8af8d285d1ccfbbc3c5", | |
| "fastplms/models/__init__.py": "sha256:d3dd084f5e8fafcf2d0fe4a26e4ab9284d3f9414b1f9a5bd86e308a406447c43", | |
| "fastplms/models/_esm_rotary.py": "sha256:8e041bc4a056373e07fbf598e6acb6075f889d1bce12057715369804befb37ec", | |
| "fastplms/models/esm2/__init__.py": "sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", | |
| "fastplms/models/esm2/modeling_fastesm.py": "sha256:119462776260e6eea6409c7203491d9100bfa51418986e9354c2b12f3684d31b", | |
| "fastplms/models/ttt.py": "sha256:f1d7f9298a930f4c40f8e321ffa08b09d1c5b8492bca623bdc7bfd03ec85774d", | |
| "fastplms/registry.py": "sha256:cb37799dae5a4c0c780089ab2cca4cc56300c1c5f515b275892aa4e1c4b97eb6", | |
| "fastplms/runtime.py": "sha256:9521c37fcd168bf9a4137277fb73672403ccf30d70d4845aa879fb22f42ddeb6", | |
| "fastplms_bundle.py": "sha256:96be83e24e3ce995195d5a51e06d360e80ae1a60a5483494d2da74e0c7e601d6", | |
| "modeling_fastplms.py": "sha256:ca2bed6fb4e70e8e24f271abed55283c8f179d6794c5d860a11f09a67e4260dc", | |
| "requirements.txt": "sha256:a93eb8b0b6c7a4b3453d0af7465d72c1147d29a556be5182fe63a02194006767", | |
| "special_tokens_map.json": "sha256:3aedcd4211c0d43aec4e607ff60a63255f3174ead795e997350f09a5f8cd9ee1", | |
| "tokenizer_config.json": "sha256:7e9161ecdb548ec45a41cbc6b24aa4476fdd418461f491c4207baa99419a29ad", | |
| "vocab.txt": "sha256:0b82cc0a7c7cf9e567b1e5892d793285b9fbae822c964ca48696f7db44598e03" | |
| }, | |
| "model_id": "esm2_3b", | |
| "redistributable": true, | |
| "release_tool_revision": "e6dd397a9ad368c998d714f6bd64d40b533d1ed1", | |
| "release_tool_sha256": "6d335c05aa49a232086a816deb25d248d1490529e5783acc3355b9bc6f03e0c2", | |
| "runtime_bundle_sha256": "f22353ef386f607784889dc303488a2dc5e99b009a5e423ab3eff1f1eb03a9a4", | |
| "runtime_revision": "e6dd397a9ad368c998d714f6bd64d40b533d1ed1", | |
| "schema_version": 2, | |
| "scope": "runtime-only", | |
| "source_tree_sha256": "818bf2bf5f573adc842b55f4f8feff926ddc25f904c5769ff5c382077d3a78a2", | |
| "weights": { | |
| "repo_id": "Synthyra/ESM2-3B", | |
| "revision": "ff89d0180f414ab9c677219a25da79bf09185456" | |
| }, | |
| "weights_license_status": "resolved" | |
| } | |