Instructions to use gowitheflowlab/en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-es")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac159470d1c3060b51f10a068789b704b447b97d310efe538390654b1e2c2a73
- Size of remote file:
- 345 MB
- SHA256:
- a9a1d4c4b96d1a8361a9a482fe75097e52bdc4190e9b9ea347b3dd8129f9eb8b
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