Instructions to use akoksal/MTMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akoksal/MTMB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="akoksal/MTMB")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("akoksal/MTMB") model = AutoModel.from_pretrained("akoksal/MTMB") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d2dbd4837494198cc860f4b11cda0d6f77f5ac5c21a8a6536aee9d3b2cc2d5b
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size 711461027
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