Instructions to use gabrielbianchin/base_esm2_t36_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabrielbianchin/base_esm2_t36_long with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gabrielbianchin/base_esm2_t36_long")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gabrielbianchin/base_esm2_t36_long") model = AutoModelForMaskedLM.from_pretrained("gabrielbianchin/base_esm2_t36_long", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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