Instructions to use Porameht/wangchanberta-thainer-corpus-v2-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Porameht/wangchanberta-thainer-corpus-v2-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Porameht/wangchanberta-thainer-corpus-v2-2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Porameht/wangchanberta-thainer-corpus-v2-2") model = AutoModelForTokenClassification.from_pretrained("Porameht/wangchanberta-thainer-corpus-v2-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57aff3cabe20f6c8aa6f2f0d970fad303fe7e682f93e53bbabe8d1ffe8cc94ea
- Size of remote file:
- 5.43 kB
- SHA256:
- 881e08502357b869e9d756dee875d592aa1a0f44ce77721dcee4e103464d8b51
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