Instructions to use edwardgowsmith/pt-finegrained-zero-shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edwardgowsmith/pt-finegrained-zero-shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edwardgowsmith/pt-finegrained-zero-shot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edwardgowsmith/pt-finegrained-zero-shot") model = AutoModelForSequenceClassification.from_pretrained("edwardgowsmith/pt-finegrained-zero-shot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from edwardgowsmith/pt-finegrained-zero-shot: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
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https://huggingface.co/edwardgowsmith/pt-finegrained-zero-shot/resolve/main/tokenizer.json
- Command line
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hf download hf://edwardgowsmith/pt-finegrained-zero-shot/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/edwardgowsmith/pt-finegrained-zero-shot/resolve/main/tokenizer.json
9.08 MB
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