Token Classification
Transformers
Safetensors
Thai
camembert
ner
thai
phayathaibert
job-posting
apple-silicon
Eval Results (legacy)
Instructions to use chayuto/thai-job-ner-phayathaibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chayuto/thai-job-ner-phayathaibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chayuto/thai-job-ner-phayathaibert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chayuto/thai-job-ner-phayathaibert") model = AutoModelForTokenClassification.from_pretrained("chayuto/thai-job-ner-phayathaibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
feat: update to Sprint 7.2 model (real-world F1=0.975, +0.040 over previous)
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
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