Instructions to use tadiecool29/STL-rasyosef-roberta-base-amharic-sentiment-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tadiecool29/STL-rasyosef-roberta-base-amharic-sentiment-finetuned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tadiecool29/STL-rasyosef-roberta-base-amharic-sentiment-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8978bbb75272de51d22f2f61dff21d769e0857687ca784d424cc03a33bf4213c
- Size of remote file:
- 5.27 kB
- SHA256:
- 652db70e6afdfb1f2e3d4d1a19022e47e31b0100f7a3884a309dd8e0be1a606b
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