Instructions to use hf-tiny-model-private/tiny-random-ErnieForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ErnieForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-ErnieForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 290c0b9a54ffe86c2d12ed7f6b1793e884374911c679cfe72154651dd21c8b76
- Size of remote file:
- 362 kB
- SHA256:
- 1566eeb6244008d6759383d2889a671b92f8abd7fb11dd86890d26ea6789227b
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