Instructions to use datmieu2k4/ner-results-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datmieu2k4/ner-results-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="datmieu2k4/ner-results-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("datmieu2k4/ner-results-3") model = AutoModelForTokenClassification.from_pretrained("datmieu2k4/ner-results-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from datmieu2k4/ner-results-3: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/datmieu2k4/ner-results-3/resolve/main/tokenizer.json
- Command line
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hf download hf://datmieu2k4/ner-results-3/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/datmieu2k4/ner-results-3/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.