Instructions to use WilliamWen/ni_io_03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WilliamWen/ni_io_03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="WilliamWen/ni_io_03")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("WilliamWen/ni_io_03") model = AutoModelForTokenClassification.from_pretrained("WilliamWen/ni_io_03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9ad27d64b4f4fba476c6ce98c2c0e290b7d936d13f948c8c10a5b8a97e665ec
- Size of remote file:
- 1.33 GB
- SHA256:
- 3dc3ebf7e0e8ce5eb6433e3e84e19e509a44771c8e6c1964922aa3c32ab765fc
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