Text Classification
Transformers
PyTorch
Safetensors
code
English
roberta
commit_message_generation
text-embeddings-inference
Instructions to use saridormi/commit-message-quality-codebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saridormi/commit-message-quality-codebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saridormi/commit-message-quality-codebert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saridormi/commit-message-quality-codebert") model = AutoModelForSequenceClassification.from_pretrained("saridormi/commit-message-quality-codebert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from saridormi/commit-message-quality-codebert: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/saridormi/commit-message-quality-codebert/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://saridormi/commit-message-quality-codebert@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/saridormi/commit-message-quality-codebert/resolve/refs%2Fpr%2F1/pytorch_model.bin
499 MB
- Xet hash:
- ce7f87450914817476297c50ce592601afd0772c2c92b56a3247fbce45d8ad62
- Size of remote file:
- 499 MB
- SHA256:
- 9cb73c9b26b4dc508d3b001ff4c14849ae6ad852ebc57bc32e1b768b1ac1b2f0
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