Instructions to use floflodebilbao/Lora_LED_sum_approach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use floflodebilbao/Lora_LED_sum_approach with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("allenai/led-base-16384") model = PeftModel.from_pretrained(base_model, "floflodebilbao/Lora_LED_sum_approach") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from floflodebilbao/Lora_LED_sum_approach: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/floflodebilbao/Lora_LED_sum_approach/resolve/main/tokenizer.json
- Command line
-
hf download hf://floflodebilbao/Lora_LED_sum_approach/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/floflodebilbao/Lora_LED_sum_approach/resolve/main/tokenizer.json
3.56 MB
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