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_t4x2 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_t4x2 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_t4x2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-operator-precedence-bug-model-64_2e-5_t4x2") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-operator-precedence-bug-model-64_2e-5_t4x2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd972e47319c05d0cfe0e21533738b0895e845a3b47cdad891d32d9d17a015f0
- Size of remote file:
- 5.3 kB
- SHA256:
- 89c0b893d9f07c999b2187de91089c0ca0312a917786629baadac70600c8b7b7
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