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:
- 51be1611da490deba6ac2e730bd8b0b51c29dd2e394e8897f23839529ad8a092
- Size of remote file:
- 399 MB
- SHA256:
- 87e60a383559881a024eb1014e380ba99625ec3cb039b06be9f7c04b8551024d
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