Instructions to use nhatminh/jinna-add-token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhatminh/jinna-add-token with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nhatminh/jinna-add-token", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nhatminh/jinna-add-token", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3511ec4deb00b49353b3537ebe65eff3251603720f59478dc997688639c18af
- Size of remote file:
- 18.9 MB
- SHA256:
- 6737dcbafc6c8792171922f68b169fb599c11999c29ff7c87a26032bdf8d026b
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