Instructions to use Cchychen/NLPtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cchychen/NLPtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cchychen/NLPtest")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cchychen/NLPtest") model = AutoModelForTokenClassification.from_pretrained("Cchychen/NLPtest") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dd00917a421f2cbb0406f75823e8fb7fdd62d1d9182c786625630fc35dfe746
- Size of remote file:
- 431 MB
- SHA256:
- 478bafc12d635ed8a3cab548205f8f6979eab2d08de2e785dd498b7b21f2cfda
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