Instructions to use Synthyra/ESMplusplus_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_small", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a5855f98976b4561723fa097fd484c87ac9a9cd66ee8310f1613b12f22d7526
- Size of remote file:
- 1.33 GB
- SHA256:
- d099223765bc4f1ae8d6c7e18561ce41df1d54073fdc5327ef0a229235a8f52a
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