Instructions to use hf-tiny-model-private/tiny-random-ErnieMForSequenceClassification 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-ErnieMForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-ErnieMForSequenceClassification")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-ErnieMForSequenceClassification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd657c7df2cb78dd84d8be7a21dc96c7ab3738d47039806a0c781a75a45969bc
- Size of remote file:
- 32.2 MB
- SHA256:
- 11370391a42915aaa96af9ec6295dff580ea110002969ff8275bde81d36bc415
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