Instructions to use Peterard/distilbert_bug_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Peterard/distilbert_bug_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Peterard/distilbert_bug_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Peterard/distilbert_bug_classifier") model = AutoModelForSequenceClassification.from_pretrained("Peterard/distilbert_bug_classifier") - Notebooks
- Google Colab
- Kaggle
How to use this classifier:
from transformers import pipeline
pipe = pipeline("text-classification", model="Peterard/distilbert_bug_classifier")
pipe("The app crashed when I opened it this morning. Can you fix this please?")
# [{'label': 'bug', 'score': 0.9042391180992126}]
pipe("Please add a like button!")
# [{'label': 'no_bug', 'score': 0.9977496266365051}]
N.B. The label will change depending on which is the likelier class
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