Instructions to use kamel-usp/aes_enem_models-sourceB-ordinal-base-C1 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-C1 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-C1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamel-usp/aes_enem_models-sourceB-ordinal-base-C1") model = AutoModelForSequenceClassification.from_pretrained("kamel-usp/aes_enem_models-sourceB-ordinal-base-C1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e97dd5b62a19e8132c0169312bdc3877c2697986aab35e3c01d634752c24f54
- Size of remote file:
- 436 MB
- SHA256:
- 2bb99df0d5c9f697237346f6987ce32ae12dd10a72e32fbafbe7f83f740d0d22
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