Text Classification
Transformers
Safetensors
bert
bug-localization
code
r4
repositories
repository-library
research-library
t4_repo
text-embeddings-inference
Instructions to use PeytonT/bug-localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/bug-localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeytonT/bug-localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeytonT/bug-localization") model = AutoModelForSequenceClassification.from_pretrained("PeytonT/bug-localization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
e59f7ea | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6f51749468b4c4919545963b5570753aeda595f22e32ceb72a2f1f33039d2a65
size 439703544
|