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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from gowitheflowlab/en-it: direct link, hf CLI and curl.
- Browser
- Download file 274 Bytes
-
https://huggingface.co/gowitheflowlab/en-it/resolve/main/.gitattributes
- Command line
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hf download hf://gowitheflowlab/en-it/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/gowitheflowlab/en-it/resolve/main/.gitattributes
274 Bytes
| pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |
| training_args.bin filter=lfs diff=lfs merge=lfs -text | |
| 2491d478be687e8ba5c321d641aa14702531cc21d35abc90d411e51c0de248d4.3f28e7f4b38e1efe1b6da4a3732404c19d4c6a614ff32dce90a251e293d4ce58 filter=lfs diff=lfs merge=lfs -text | |