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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -61,6 +61,7 @@ Fine-tuned **Pavarissy/phayathaibert-thainer** for **Thai Named Entity Recogniti
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- **Task:** Token Classification (NER)
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- **Language:** Thai (`th`)
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- **License:** cc-by-3.0
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## Intended Use
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- **Task:** Token Classification (NER)
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- **Language:** Thai (`th`)
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- **License:** cc-by-3.0
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- **Google Colab:** [Google Colab](https://colab.research.google.com/drive/1Vy5bXO0BaZnYCYKbA9J3VagFtutMWcTY#scrollTo=M_cCxkSuUaXV).
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## Intended Use
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