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
- Xet hash:
- 326a4e5cc90ede829e3006155edcc35c02b2ed868a2951d46a3c58feac0b9c91
- Size of remote file:
- 1 kB
- SHA256:
- c2cf556a72beb09f25d2ca9e3f4a04a4cbb9ffeda360e005c8a661420626c1d6
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