Instructions to use hf-internal-testing/tiny-random-ErnieForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ErnieForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-ErnieForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ErnieForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-ErnieForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b83621b31fc6784d634b3d22194123f29b2a2651cf28ab0ed934eb7e474941b
- Size of remote file:
- 366 kB
- SHA256:
- 32e0f1dc5c36f3e46fea70a9bc99a2e74f1bd6ac30b012bb70416594329577a5
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