Instructions to use gowitheflowlab/en-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-it")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 991958f5a792b4df4c347942efb71f9071dc7e0ddd7632628ddc3e591d0004fa
- Size of remote file:
- 345 MB
- SHA256:
- a232789f8d1f096836f9fc7cf1ccba937e1efcf42249126ab7324fc197d9c241
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