Instructions to use WilliamWen/ni_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WilliamWen/ni_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="WilliamWen/ni_final")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("WilliamWen/ni_final") model = AutoModelForTokenClassification.from_pretrained("WilliamWen/ni_final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 006041ea500a112239512701966c71961e60bcc63bd7caea670114da3cee1d61
- Size of remote file:
- 669 kB
- SHA256:
- 40792416d123f577211d602e16a5508920512272c13307c49b34e4795c007859
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