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:
- 6886649a0ab56b5c3ada7224e3e335ccdcc2892f4fb865e007bd7681676228f3
- Size of remote file:
- 385 kB
- SHA256:
- 594ac49251ce894e78833136947196df48f7e614ea6295e538f4732441643f01
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