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")# pip install -U transformers accelerate # 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
Download train_results.json from ecwk/distilbert-git-commits-bugfix-classification: direct link, hf CLI and curl.
- Browser
- Download file 193 Bytes
-
https://huggingface.co/ecwk/distilbert-git-commits-bugfix-classification/resolve/main/train_results.json
- Command line
-
hf download hf://ecwk/distilbert-git-commits-bugfix-classification/train_results.json
-
curl -L -o train_results.json https://huggingface.co/ecwk/distilbert-git-commits-bugfix-classification/resolve/main/train_results.json
193 Bytes
| { | |
| "epoch": 10.0, | |
| "train_loss": 0.1377350079192018, | |
| "train_runtime": 17.676, | |
| "train_samples": 343, | |
| "train_samples_per_second": 194.048, | |
| "train_steps_per_second": 12.446 | |
| } |