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:
- 2d449d897e198c0206b8cd88e411a5c67864dff967b96c02b9d56aba055da400
- Size of remote file:
- 380 kB
- SHA256:
- efeaf2dd7efdf5b86b12ca468cb61f8b4a002cfbdadd65687ffeb3effef13a98
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