Instructions to use Neupane9Sujal/NER_usingBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neupane9Sujal/NER_usingBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Neupane9Sujal/NER_usingBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Neupane9Sujal/NER_usingBERT") model = AutoModelForTokenClassification.from_pretrained("Neupane9Sujal/NER_usingBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Neupane9Sujal/NER_usingBERT: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/Neupane9Sujal/NER_usingBERT/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://Neupane9Sujal/NER_usingBERT@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Neupane9Sujal/NER_usingBERT/resolve/refs%2Fpr%2F2/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.