Instructions to use kamel-usp/aes_enem_models-sourceB-ordinal-base-C5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamel-usp/aes_enem_models-sourceB-ordinal-base-C5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kamel-usp/aes_enem_models-sourceB-ordinal-base-C5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamel-usp/aes_enem_models-sourceB-ordinal-base-C5") model = AutoModelForSequenceClassification.from_pretrained("kamel-usp/aes_enem_models-sourceB-ordinal-base-C5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a122358f90288121f76ab9155a77a876eace10d98c54e2838a8a2c15018d7f1
- Size of remote file:
- 436 MB
- SHA256:
- 138fe688fe4415e106ed70c504da0767b3ba702e00248a110f1bda95e6fc6285
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