Instructions to use hf-internal-testing/tiny-random-ErnieMForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ErnieMForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-ErnieMForTokenClassification")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-ErnieMForTokenClassification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cba07bd486bfb89da36b7a041919254412f16577ed29cbf7394e281dc21b244
- Size of remote file:
- 32.2 MB
- SHA256:
- 09e2a55bab72fa3c74c1e4d1550246248efd577796fe2331bccea4a6221926e5
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