Instructions to use leonweber/biomuppet_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonweber/biomuppet_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leonweber/biomuppet_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("leonweber/biomuppet_base") model = AutoModel.from_pretrained("leonweber/biomuppet_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccc02c86647402f2c24b3284582756e9fbf9e9f8ab4ee7904e678b049bb0be02
- Size of remote file:
- 433 MB
- SHA256:
- de02ce1824fc2fba092423b14e569d3381cd9eab25b8cf1f6b066b06e52794de
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