Instructions to use Bachi06/roberta-base-ner-updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bachi06/roberta-base-ner-updated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Bachi06/roberta-base-ner-updated")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Bachi06/roberta-base-ner-updated") model = AutoModelForTokenClassification.from_pretrained("Bachi06/roberta-base-ner-updated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Bachi06/roberta-base-ner-updated: direct link, hf CLI and curl.
- Browser
- Download file 3.85 MB
-
https://huggingface.co/Bachi06/roberta-base-ner-updated/resolve/main/tokenizer.json
- Command line
-
hf download hf://Bachi06/roberta-base-ner-updated/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Bachi06/roberta-base-ner-updated/resolve/main/tokenizer.json
3.85 MB
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