Instructions to use gabrielbianchin/esm2_t30_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabrielbianchin/esm2_t30_long with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gabrielbianchin/esm2_t30_long")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gabrielbianchin/esm2_t30_long") model = AutoModelForMaskedLM.from_pretrained("gabrielbianchin/esm2_t30_long", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:75f9f361d51f99507d91ecf971d22293a349c1ff9d5164b8e7d4f6d68fd9e9c4
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size 745596304
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