Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ecwk/starencoder-vulnfix-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ecwk/starencoder-vulnfix-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ecwk/starencoder-vulnfix-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ecwk/starencoder-vulnfix-classification") model = AutoModelForSequenceClassification.from_pretrained("ecwk/starencoder-vulnfix-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ecwk/starencoder-vulnfix-classification: direct link, hf CLI and curl.
- Browser
- Download file 497 MB
-
https://huggingface.co/ecwk/starencoder-vulnfix-classification/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://ecwk/starencoder-vulnfix-classification@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ecwk/starencoder-vulnfix-classification/resolve/refs%2Fpr%2F1/pytorch_model.bin
497 MB
- Xet hash:
- 02d34d8c6bff647b909925cbe1be8832767cc84684cb95e3d0ab6c6c4f470616
- Size of remote file:
- 497 MB
- SHA256:
- 5bd364a8da8dd0949cbcddd9d32781a22a02912b814e803330881df777cd629f
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