Instructions to use AI4Protein/deep_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_base") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4df16dc4003782c15759f962112e38dfbce20e082c2f40f66918057477fd82ec
- Size of remote file:
- 343 MB
- SHA256:
- 2f845c2ae5a31b81829adf40933979dd2827455b532e6f0e7ec78b0dfa03d3e4
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