Instructions to use AI4Protein/deep_unigram_200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_unigram_200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AI4Protein/deep_unigram_200")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_unigram_200") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_unigram_200", 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 sha256:56df5bf0089f5e1c05cc9f97e9c08c4c2da6bb4fcc98b341f081b0d5b912f5e1
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size 343500968
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