Text Classification
Transformers
Safetensors
code
roberta
code-review
bug-detection
codebert
python
security
static-analysis
text-embeddings-inference
Instructions to use jayansh21/codesheriff-bug-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayansh21/codesheriff-bug-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jayansh21/codesheriff-bug-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jayansh21/codesheriff-bug-classifier") model = AutoModelForSequenceClassification.from_pretrained("jayansh21/codesheriff-bug-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from jayansh21/codesheriff-bug-classifier: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/jayansh21/codesheriff-bug-classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://jayansh21/codesheriff-bug-classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/jayansh21/codesheriff-bug-classifier/resolve/main/model.safetensors
499 MB
- Xet hash:
- f86eea50a5e1fe6da4fe1423613e259e6806f1d6d3ab3b9a7e34608fc1869425
- Size of remote file:
- 499 MB
- SHA256:
- 3e99f8ae2bf00e6289433ae8874bc60da4a2d222649ce929a1328669dfe5166d
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