Instructions to use nhanv/ner_cv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhanv/ner_cv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nhanv/ner_cv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nhanv/ner_cv") model = AutoModelForTokenClassification.from_pretrained("nhanv/ner_cv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nhanv/ner_cv: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/nhanv/ner_cv/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://nhanv/ner_cv@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/nhanv/ner_cv/resolve/refs%2Fpr%2F1/tokenizer.json
8.66 MB
File too large to display, you can check the raw version instead.