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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4184630fe2699efe09d44636d8ebe1183f3a497bab7fbe40cc3a1196ae136e33
- Size of remote file:
- 340 Bytes
- SHA256:
- 3a3d22e072657bd4ffffaccab84bac4f632e2c20e146a808188fe9bd29a31801
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