Instructions to use WebOrganizer/FormatClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WebOrganizer/FormatClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WebOrganizer/FormatClassifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("WebOrganizer/FormatClassifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from WebOrganizer/FormatClassifier: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/WebOrganizer/FormatClassifier/resolve/be60cd332f0bad97c4ded11a0e9fca2ef3e66538/tokenizer.json
- Command line
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hf download hf://WebOrganizer/FormatClassifier@be60cd332f0bad97c4ded11a0e9fca2ef3e66538/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/WebOrganizer/FormatClassifier/resolve/be60cd332f0bad97c4ded11a0e9fca2ef3e66538/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.