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
- Xet hash:
- 6356bb6a6c0ac850d668b3f8683bc6cfe1ad79cba42ab67806e0e57d331604f8
- Size of remote file:
- 1.11 GB
- SHA256:
- 889c71097f2a63f2819b9803a31ae4f84bd2542f0123f974e4d8a9f3fa098843
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.