Text Generation
PEFT
Safetensors
English
summarization
Synthetic
instruction-tuning
general-purpose
lora
mistral-7b-v0.2
text2text-generation
Instructions to use ingoziegler/CRAFT-Summarization-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ingoziegler/CRAFT-Summarization-XL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistral-community/Mistral-7B-v0.2") model = PeftModel.from_pretrained(base_model, "ingoziegler/CRAFT-Summarization-XL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ab02fcf0be983f8b1c4138de408fd33781435502b209f7a284b95d17621f0ec
- Size of remote file:
- 860 MB
- SHA256:
- b343d92aab52eef3cd8c908ae05287be9b7ee9c284240e4b3bb4c561b435acdc
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