Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ecwk/distilbert-git-commits-bugfix-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ecwk/distilbert-git-commits-bugfix-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ecwk/distilbert-git-commits-bugfix-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ecwk/distilbert-git-commits-bugfix-classification") model = AutoModelForSequenceClassification.from_pretrained("ecwk/distilbert-git-commits-bugfix-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ab5e822ae7da8aafd64d45c7f48ba2f4d9cf9cec9e43fb4886ead797c860bf1
- Size of remote file:
- 4.09 kB
- SHA256:
- 0fa15730fd91492ce3dbce622dd0d77268b21b86f56f2301bed4c78fb9e37cdf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.