Instructions to use gowitheflowlab/en-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-pt")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1433ac108e5eef23e4c32472ce2f9270867d82814bf799919ab91d84406c502
- Size of remote file:
- 345 MB
- SHA256:
- 9a98324b485f3a0f556bd0375b349de40dca6c25a88c5b827c52477ed9f12b1c
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