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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06fc1b1777d9a17857b6b1e817da7d4b789c69f0ea594c59ecb988d978662ef3
- Size of remote file:
- 5.71 kB
- SHA256:
- a86db79a2365ede5d6b58f622653940f9e4fda72287e3c85207287aab93025ce
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