Instructions to use pngwn/github-issue-classifier-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pngwn/github-issue-classifier-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pngwn/github-issue-classifier-distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pngwn/github-issue-classifier-distilbert") model = AutoModelForSequenceClassification.from_pretrained("pngwn/github-issue-classifier-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pngwn/github-issue-classifier-distilbert: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/pngwn/github-issue-classifier-distilbert/resolve/main/training_args.bin
- Command line
-
hf download hf://pngwn/github-issue-classifier-distilbert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pngwn/github-issue-classifier-distilbert/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 5f1a1fd672822af4d21d4bb8739d6cb0e9c4b15295b6bbd11e0952deb63fbe9f
- Size of remote file:
- 5.27 kB
- SHA256:
- d0f3f1181f1c288a43079761d295463ca7b96512a8cb25130be95688d79d89e6
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