Instructions to use ivanlau/distil-bert-uncased-finetuned-github-issues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ivanlau/distil-bert-uncased-finetuned-github-issues with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ivanlau/distil-bert-uncased-finetuned-github-issues")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ivanlau/distil-bert-uncased-finetuned-github-issues") model = AutoModelForSequenceClassification.from_pretrained("ivanlau/distil-bert-uncased-finetuned-github-issues") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7c94989e624ee568b14118a50405326d2f671cee36fc9765d3ba7514845d6ca
- Size of remote file:
- 268 MB
- SHA256:
- b579a1f91d442121b5b5fa3ca23f72776cdf70c6ae6e15efc02f63fc926d91c4
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