Instructions to use Pavarissy/phayathaibert-thainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pavarissy/phayathaibert-thainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Pavarissy/phayathaibert-thainer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Pavarissy/phayathaibert-thainer") model = AutoModelForTokenClassification.from_pretrained("Pavarissy/phayathaibert-thainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 840cdc1948d04ee9dac4539a07d9d9f38db29c53bae826038a5983ddc9554c72
- Size of remote file:
- 4.66 kB
- SHA256:
- 3c69346c7ce2154e4a88926450f7671f2fe627db1ebd2c30e16fb237342ba987
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