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:
- 62b4a99623710e355ce59638de1b53f2cc014b21871eed9bb86d2a90ec2df09a
- Size of remote file:
- 5.27 kB
- SHA256:
- eeebb73cd13c4ebd5ddbe50c9b85d60e6bb7c062b4ac73fce2f2f6d708ecee92
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