Instructions to use hf-internal-testing/tiny-random-ErnieForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ErnieForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-ErnieForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ErnieForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-ErnieForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 830fe5c805f38d4f81f9d358f3433777d7952bcecb7bd7c92618c274138342e5
- Size of remote file:
- 362 kB
- SHA256:
- d8b35dca8847b306461f0396a03b61e6e01d9a239e50bb030fc97f55e8170df8
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