Instructions to use AI4Protein/deep_unigram_3200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_unigram_3200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AI4Protein/deep_unigram_3200")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_unigram_3200") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_unigram_3200") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e30b52af89248197eb8d55aea58aa054356c42cdd86f4fd0a9167634559a0c9
- Size of remote file:
- 353 MB
- SHA256:
- 92d9063c8ff387868e4501d20e5dfc95a7a1aa67c14054fd27d0e4f0d39e8d3b
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