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 added_tokens.json from saridormi/commit-message-quality-codebert: direct link, hf CLI and curl.
- Browser
- Download file 75 Bytes
-
https://huggingface.co/saridormi/commit-message-quality-codebert/resolve/refs%2Fpr%2F1/added_tokens.json
- Command line
-
hf download hf://saridormi/commit-message-quality-codebert@refs/pr/1/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/saridormi/commit-message-quality-codebert/resolve/refs%2Fpr%2F1/added_tokens.json
75 Bytes
| { | |
| "</s>": 2, | |
| "<mask>": 50264, | |
| "<pad>": 1, | |
| "<s>": 0, | |
| "<unk>": 3 | |
| } | |