Instructions to use Synthyra/ESMplusplus_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_large", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_large", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d60077cf626d55477d96495bb7c9af6d9c340b04d467ab7176540727c608fa4
- Size of remote file:
- 2.3 GB
- SHA256:
- 4aff3f8c5de68c4d3e3824eb2c478e4a47355d3f849f3c745e5c8a5ee6cff851
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