Instructions to use tadiecool29/afriberta-stl-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tadiecool29/afriberta-stl-base-sentiment with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tadiecool29/afriberta-stl-base-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c25b668be0eb53692da2c828c140965dec6a6c13b51bacc1a2831d97083f292
- Size of remote file:
- 446 MB
- SHA256:
- 5bbfae19f2610f41d53f7d61722f327cf6995820d668b0b4e9c5f56536676298
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