Instructions to use Tippawan/sample_36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tippawan/sample_36 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tippawan/sample_36")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tippawan/sample_36") model = AutoModelForTokenClassification.from_pretrained("Tippawan/sample_36", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bad038558aebf681a01e4a02627d78d223c1a82bafa64072b4d591c1ca3df4ef
- Size of remote file:
- 419 MB
- SHA256:
- 8d40062976ec7b7733e38618349ae4ffe4148bfa7653195f403882ac2ab375da
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