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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0f8114b4bb2564def27abd9ab3bb0a7494ae9e6a23699397b5f1fa0be9eca18
- Size of remote file:
- 4.79 kB
- SHA256:
- 76942b1a6729307ae1bb44b01e1f2706773469644a51c9c088316aa146cc0542
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