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:
- 3ad057b1e66d23c9a9030034503298e95d97003f8853635c95938e4b487ccb84
- Size of remote file:
- 1.11 GB
- SHA256:
- ea4fc06fbfdc121e07cb9811cf543400c2d959c9585690d8b1593d154f8bb673
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.