Instructions to use AI4Protein/deep_unigram_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_unigram_50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_unigram_50")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_unigram_50") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_unigram_50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6f3f6754495638f773395e62d2cbacbf581b5767e9049783125b8eb892024de
- Size of remote file:
- 343 MB
- SHA256:
- b5f6683093b52a838c5311d4f389c358d4b7f38eb7a2275ae6104a9aea90e203
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