Instructions to use OneFly7/bge_m3_pointwise_bs16_lr1e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OneFly7/bge_m3_pointwise_bs16_lr1e5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OneFly7/bge_m3_pointwise_bs16_lr1e5")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OneFly7/bge_m3_pointwise_bs16_lr1e5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27cd64d301f87c214677a811d4417956c00dffcd3aa4eaafe78fd2d00004e71d
- Size of remote file:
- 5.33 kB
- SHA256:
- 79ef7040476d98738e2619e25fd12d1a1755cbaec66f723c0fc38778e6f33fbd
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