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:
- 26d207b90cc1573a0e50bb85ea395b6b2b167ea7f085a704deec9f852fe88f8e
- Size of remote file:
- 1.09 kB
- SHA256:
- 78c2dbf4fd2e9376595604756fd9150c0870516996c891dc09cfdcd43b3dec6c
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