Instructions to use YosefA/amharic_text_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YosefA/amharic_text_summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("YosefA/amharic_text_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("YosefA/amharic_text_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d58a4710af7aa5273c6ad22ae75a8f6167a138e71f7a002f999182080629c5a
- Size of remote file:
- 4.79 kB
- SHA256:
- 6a486d0be0ca0d6f08144705d16fdd9df2b010dee3f399420d26cfc057caa0ad
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