Instructions to use deetsml/HIMsetfitMultiLabelModel2epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deetsml/HIMsetfitMultiLabelModel2epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deetsml/HIMsetfitMultiLabelModel2epochs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deetsml/HIMsetfitMultiLabelModel2epochs") model = AutoModel.from_pretrained("deetsml/HIMsetfitMultiLabelModel2epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from deetsml/HIMsetfitMultiLabelModel2epochs: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
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https://huggingface.co/deetsml/HIMsetfitMultiLabelModel2epochs/resolve/cfec3e92bb3746b00cc9f382b8d4f435ecbdebbd/tokenizer.json
- Command line
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hf download hf://deetsml/HIMsetfitMultiLabelModel2epochs@cfec3e92bb3746b00cc9f382b8d4f435ecbdebbd/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/deetsml/HIMsetfitMultiLabelModel2epochs/resolve/cfec3e92bb3746b00cc9f382b8d4f435ecbdebbd/tokenizer.json
2.11 MB
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