Instructions to use gowitheflowlab/en-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-fr")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de115ae35a9e48aef83b0d65c16647be25b47ffd8a3d1dffdce898ae3636b449
- Size of remote file:
- 3.38 kB
- SHA256:
- d4292e7243739cd668152f48d4b95f0701ec22c5e67b75c0b976964947fa4f4e
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