Instructions to use DPhO05/my-graphcodebert-base-RQ3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DPhO05/my-graphcodebert-base-RQ3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DPhO05/my-graphcodebert-base-RQ3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DPhO05/my-graphcodebert-base-RQ3") model = AutoModelForSequenceClassification.from_pretrained("DPhO05/my-graphcodebert-base-RQ3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a2787b77742e1f5cf4d1cc489c7edb16be30de82a2789787c96340785c22642
- Size of remote file:
- 5.27 kB
- SHA256:
- 072bd81b1ee8526a5b7821b31c3ad654385c2e0f003454938629a12068231cc0
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