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:
- 0dff8a38f93a9014fc4c753a767a9f098db6c370bcdceec20cd2595d74801a3c
- Size of remote file:
- 32.2 MB
- SHA256:
- 7884b650acda517dad2fed7c3feb28c23ad825233ac6e7b56f3159f9943c6530
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