Instructions to use datasciencemmw/old-beta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasciencemmw/old-beta2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="datasciencemmw/old-beta2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("datasciencemmw/old-beta2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c60edc9f471be2624d3aded5592527f90cc7371167ffd50b2e3ca2575f4fc68
- Size of remote file:
- 557 MB
- SHA256:
- dfa7cd94f86bb6ce664ddfc293b8ee91e398ef0aca0a28166dde85959b99766d
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