Instructions to use Vrushali/model_abv_distil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrushali/model_abv_distil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Vrushali/model_abv_distil")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Vrushali/model_abv_distil") model = AutoModelForTokenClassification.from_pretrained("Vrushali/model_abv_distil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Vrushali/model_abv_distil: direct link, hf CLI and curl.
- Browser
- Download file 701 kB
-
https://huggingface.co/Vrushali/model_abv_distil/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://Vrushali/model_abv_distil@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Vrushali/model_abv_distil/resolve/refs%2Fpr%2F2/tokenizer.json
701 kB
File too large to display, you can check the raw version instead.