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