Instructions to use Cloudy1225/stackoverflow-roberta-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cloudy1225/stackoverflow-roberta-base-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cloudy1225/stackoverflow-roberta-base-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cloudy1225/stackoverflow-roberta-base-sentiment") model = AutoModelForSequenceClassification.from_pretrained("Cloudy1225/stackoverflow-roberta-base-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80d88aa2ca04827126bd58d3a407f44cb0752c054ba9b4df137d695cbc3cb5e6
- Size of remote file:
- 499 MB
- SHA256:
- a2c7ccd3c94f34b8b8045041c538e00c290cfd2409a1212591959c3978237a52
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