Instructions to use Norrawee/wangchanberta-ner-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Norrawee/wangchanberta-ner-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Norrawee/wangchanberta-ner-2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Norrawee/wangchanberta-ner-2") model = AutoModelForTokenClassification.from_pretrained("Norrawee/wangchanberta-ner-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3edda40ea397f7e34a6dd1a4898a9bdde6329ede19de6aea80d7e5fa4624e509
- Size of remote file:
- 419 MB
- SHA256:
- 02469c4604d881acae67874d166ee5ec349526350c2a10eeea1225d1b241f347
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