Instructions to use albertfares/CommitGraderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albertfares/CommitGraderModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="albertfares/CommitGraderModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("albertfares/CommitGraderModel") model = AutoModelForSequenceClassification.from_pretrained("albertfares/CommitGraderModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a4046d29f8020e269a8b15e07f55543973cfa917c2936dafe1370b2da8be247
- Size of remote file:
- 1.34 GB
- SHA256:
- e03733e0052bdaad8eac9b4a0263af07ff298b8c2d7732c6a13a353c3fa8f042
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