Instructions to use mbouilloud/Best_GPA_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbouilloud/Best_GPA_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mbouilloud/Best_GPA_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mbouilloud/Best_GPA_model") model = AutoModelForSequenceClassification.from_pretrained("mbouilloud/Best_GPA_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86df51308bd5ebb50931cf24c5c07aca8b54f84f99df65c61ddb30fa021f59f1
- Size of remote file:
- 557 MB
- SHA256:
- 879c79eaa033ad3698879603a56b1f08537f2b6a474f42305a0b658759827ed4
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