Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dipudl/codeT5-DistilBERT-operator-precedence-bug-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/codeT5-DistilBERT-operator-precedence-bug-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/codeT5-DistilBERT-operator-precedence-bug-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-operator-precedence-bug-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-operator-precedence-bug-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a28acee7761beacc3d4cb4a8368fccc17d84dda899affecacbc0c1fc80366c0
- Size of remote file:
- 268 MB
- SHA256:
- e311fadde0b1a5af407287b4f059888a8d9b034708b6f9ff4b2902500ac9bd0e
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