Instructions to use cwtpc/wangchanberta-ner-8989 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cwtpc/wangchanberta-ner-8989 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cwtpc/wangchanberta-ner-8989")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cwtpc/wangchanberta-ner-8989") model = AutoModelForTokenClassification.from_pretrained("cwtpc/wangchanberta-ner-8989", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from cwtpc/wangchanberta-ner-8989: direct link, hf CLI and curl.
- Browser
- Download file 14 Bytes
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https://huggingface.co/cwtpc/wangchanberta-ner-8989/resolve/main/README.md
- Command line
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hf download hf://cwtpc/wangchanberta-ner-8989/README.md
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curl -L -o README.md https://huggingface.co/cwtpc/wangchanberta-ner-8989/resolve/main/README.md
14 Bytes