Instructions to use kamel-usp/aes_enem_models-sourceB-ordinal-base-C2 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-C2 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-C2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamel-usp/aes_enem_models-sourceB-ordinal-base-C2") model = AutoModelForSequenceClassification.from_pretrained("kamel-usp/aes_enem_models-sourceB-ordinal-base-C2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb0b2b99f2537a4e224c6de7a2ec01ea29c65bd771e665580d0d735555873d12
- Size of remote file:
- 436 MB
- SHA256:
- b237b59ef70de37c531cfd58d24bf95443ac1a0662b6eb63d2f5da31e168726a
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