Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dipudl/codeT5-DistilBERT-operator-precedence-bug-model-64-2e-5 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-64-2e-5 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-64-2e-5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-operator-precedence-bug-model-64-2e-5") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-operator-precedence-bug-model-64-2e-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 885e0fbd93b0cb18ca31702d8a5e0691373cf11bd8e8eda73e2f7bd757d08fee
- Size of remote file:
- 5.3 kB
- SHA256:
- 9ccad35755369adec764e0b819dae9636d7e7c1ac93b519b44197a7a1f450fd6
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