Instructions to use aieng-lab/codebert-base_issue-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_issue-type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_issue-type")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_issue-type") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_issue-type", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 092cab4e299d053ed35a0886af790ae05ea6a9a0a1e6154aa30260f6c6838246
- Size of remote file:
- 249 MB
- SHA256:
- 5a1e15ccd845794135f905f1d7f1b13985f351471f87b808e783dfea6196116a
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