Instructions to use alwaysaditi/pacsum_led_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alwaysaditi/pacsum_led_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alwaysaditi/pacsum_led_model") model = AutoModelForSeq2SeqLM.from_pretrained("alwaysaditi/pacsum_led_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Copy_of_Data_Creation_and_Preprocessing.ipynb from alwaysaditi/pacsum_led_model: direct link, hf CLI and curl.
- Browser
- Download file 265 kB
-
https://huggingface.co/alwaysaditi/pacsum_led_model/resolve/main/Copy_of_Data_Creation_and_Preprocessing.ipynb
- Command line
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hf download hf://alwaysaditi/pacsum_led_model/Copy_of_Data_Creation_and_Preprocessing.ipynb
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curl -L -o Copy_of_Data_Creation_and_Preprocessing.ipynb https://huggingface.co/alwaysaditi/pacsum_led_model/resolve/main/Copy_of_Data_Creation_and_Preprocessing.ipynb
265 kB