Instructions to use hf-internal-testing/tiny-random-ErnieMForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ErnieMForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-ErnieMForSequenceClassification")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-ErnieMForSequenceClassification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5887963a526eb13712b265ba26a48eebb785ac061a5f7ed3b551b5d897acf586
- Size of remote file:
- 32.2 MB
- SHA256:
- aee1f616da52f228394d284eed0b0cfef5f91041fb80f405127447b006cb9b2f
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