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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0305b0b890464745201dcfe15354cb45f277c465c1abfe3595ea9ae24dd0de7d
- Size of remote file:
- 385 kB
- SHA256:
- ca28a976dd248f7e1c90be879f83421c100adc0fe8b57c29138cd39780b8992e
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