Instructions to use dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model/resolve/refs%2Fpr%2F1/model.safetensors
268 MB
- Xet hash:
- 48ebba067a09d94531da2e15aa655a424867168918925967da696fb8c9bf03ed
- Size of remote file:
- 268 MB
- SHA256:
- fe15c75d14507d7f9a0e0ff342b4ad91db511c2bfd03531b0be9fa3333f3cd26
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