Instructions to use hemanth11/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hemanth11/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hemanth11/dummy")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hemanth11/dummy") model = AutoModelForTokenClassification.from_pretrained("hemanth11/dummy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11d821e5d62a7d88718c850f073ca0dc39815df9b23d712bc64092216eebc37a
- Size of remote file:
- 431 MB
- SHA256:
- cd6c1487c7681440132ede7e92d385285ae601108cb026088065e0857666e8c5
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