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:
- b2d8081b96ddf5585e41af5fb362fc2861384501e9472745b6fa3f620995c9cf
- Size of remote file:
- 499 MB
- SHA256:
- fdef4fce58a099e45025486fc34d642687b59dcbd74f7617fe2689be886c96ff
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