Instructions to use hf-tiny-model-private/tiny-random-ErnieForSequenceClassification 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-ErnieForSequenceClassification 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-ErnieForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8a76416dae8f4c39c61b52e74fe40d5f3dff24565b2a51c8cc8a66972a1eda8
- Size of remote file:
- 366 kB
- SHA256:
- 34088624d3aab88162a7a694fec803dae538852be1ffa1f28e6e2158ecc13f06
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