Instructions to use Recognai/veganuary_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Recognai/veganuary_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Recognai/veganuary_ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Recognai/veganuary_ner") model = AutoModelForTokenClassification.from_pretrained("Recognai/veganuary_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Recognai/veganuary_ner: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
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https://huggingface.co/Recognai/veganuary_ner/resolve/main/tokenizer.json
- Command line
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hf download hf://Recognai/veganuary_ner/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Recognai/veganuary_ner/resolve/main/tokenizer.json
1.36 MB
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