Instructions to use shre-db/bert-finetuned-ner-accelerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shre-db/bert-finetuned-ner-accelerator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="shre-db/bert-finetuned-ner-accelerator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("shre-db/bert-finetuned-ner-accelerator") model = AutoModelForTokenClassification.from_pretrained("shre-db/bert-finetuned-ner-accelerator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from shre-db/bert-finetuned-ner-accelerator: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/shre-db/bert-finetuned-ner-accelerator/resolve/main/tokenizer.json
- Command line
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hf download hf://shre-db/bert-finetuned-ner-accelerator/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/shre-db/bert-finetuned-ner-accelerator/resolve/main/tokenizer.json
669 kB
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