Instructions to use hf-tiny-model-private/tiny-random-ErnieMForTokenClassification 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-ErnieMForTokenClassification 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-ErnieMForTokenClassification")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-ErnieMForTokenClassification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a6f0ba5bd864a57d3474d25f02f2ef3fce6b0730bf27663d81e3633655befd2
- Size of remote file:
- 32.2 MB
- SHA256:
- 2babf8706cbde65da277a29a28b973020595aa1f95b8c945de9bb401af890418
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