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