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:
- aaf3cc6519b85607df870bb4babed300a208a9ff846c8e62ba7608e122497e9c
- Size of remote file:
- 345 MB
- SHA256:
- 3ce0f5c23776649145113a36f21f37f179abf1440629961665728f023c44868d
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