Instructions to use SDS23/text_highlighting_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SDS23/text_highlighting_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SDS23/text_highlighting_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SDS23/text_highlighting_model") model = AutoModelForTokenClassification.from_pretrained("SDS23/text_highlighting_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SDS23/text_highlighting_model: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/SDS23/text_highlighting_model/resolve/main/tokenizer.json
- Command line
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hf download hf://SDS23/text_highlighting_model/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SDS23/text_highlighting_model/resolve/main/tokenizer.json
711 kB
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