Token Classification
Transformers
Safetensors
PyTorch
Thai
camembert
ner
thai
phayathaibert
phayathaibert-thainer
Eval Results (legacy)
Instructions to use JonusNattapong/OpenThai-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonusNattapong/OpenThai-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JonusNattapong/OpenThai-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("JonusNattapong/OpenThai-NER") model = AutoModelForTokenClassification.from_pretrained("JonusNattapong/OpenThai-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da794476aa3d0efe3fc5d203adc89ea5e58f927002c99ec79ac1caf90c673a3
- Size of remote file:
- 5.84 kB
- SHA256:
- 52519396a76e2b65dded3e3f32cb928401dc229d7ce777057133c4d139b9f265
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