Instructions to use datasciencemmw/old-beta1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasciencemmw/old-beta1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="datasciencemmw/old-beta1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("datasciencemmw/old-beta1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a27d10982024a1826af29bc45799f9a7dea894c692e425a56b6b69340b195109
- Size of remote file:
- 438 MB
- SHA256:
- c89b5bfc9883378f47345b99acae13c0095f817f5993cee155a59c88ddcbee47
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