Instructions to use Desalegnn/llama3-amharic-summarization-lora-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Desalegnn/llama3-amharic-summarization-lora-summarization with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Desalegnn/llama3-amharic-summarization-lora-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48ee5b5a31d72cc715e458987965a6c4c1fd73995e66552591a27b48393284b0
- Size of remote file:
- 17.2 MB
- SHA256:
- 32bb219e0d6f93d2056ee8e90d370c6dbbcb5eab24dd26cfc382688e1be3a88e
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