Instructions to use cuadron11/documentClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/documentClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cuadron11/documentClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/documentClassification") model = AutoModelForSequenceClassification.from_pretrained("cuadron11/documentClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cuadron11/documentClassification: direct link, hf CLI and curl.
- Browser
- Download file 2.24 MB
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https://huggingface.co/cuadron11/documentClassification/resolve/26f23e2e2ccc441d8439f4e661d90640e1009e8f/tokenizer.json
- Command line
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hf download hf://cuadron11/documentClassification@26f23e2e2ccc441d8439f4e661d90640e1009e8f/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cuadron11/documentClassification/resolve/26f23e2e2ccc441d8439f4e661d90640e1009e8f/tokenizer.json
2.24 MB
File too large to display, you can check the raw version instead.