Instructions to use AmelieSchreiber/esm_interact with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmelieSchreiber/esm_interact with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AmelieSchreiber/esm_interact")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AmelieSchreiber/esm_interact") model = AutoModelForMaskedLM.from_pretrained("AmelieSchreiber/esm_interact", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# ESM-2 for Interacting Proteins
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This model was finetuned on concatenated pairs of interacting proteins in much the same way as [PepMLM](https://huggingface.co/spaces/TianlaiChen/PepMLM).
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It is meant to generate
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well tested, so use with caution. This is just a preliminary experiment.
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## Using the Model
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# ESM-2 for Interacting Proteins
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This model was finetuned on concatenated pairs of interacting proteins in much the same way as [PepMLM](https://huggingface.co/spaces/TianlaiChen/PepMLM).
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It is meant to generate interaction partners for proteins using the masked language modeling capabilities of ESM-2. The model is not
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well tested, so use with caution. This is just a preliminary experiment.
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## Using the Model
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