Instructions to use kartiksrma/roberta-issue-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kartiksrma/roberta-issue-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kartiksrma/roberta-issue-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kartiksrma/roberta-issue-classifier") model = AutoModelForSequenceClassification.from_pretrained("kartiksrma/roberta-issue-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b40fdabc9a50848be0f3fb2bb6cf4bed25b81ee280a75d1752e5bf2188651f80
- Size of remote file:
- 5.24 kB
- SHA256:
- 45f0229d147cb48517cb040628493a6fd54d303d158369503d0367a658d956ea
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