Instructions to use ShehbazPatel/mistral-finetuned-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShehbazPatel/mistral-finetuned-samsum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "ShehbazPatel/mistral-finetuned-samsum") - Notebooks
- Google Colab
- Kaggle
mistral-finetuned-samsum / runs /Jun01_17-35-48_e0cc96174c73 /events.out.tfevents.1717263551.e0cc96174c73.2107.0
- Xet hash:
- 64758f2f209f3d9695eb7b24a3eb5634a18138a279f0fb951c836a11c7f74273
- Size of remote file:
- 6.29 kB
- SHA256:
- ec274c235456bf0ae25a77095a10d2ee26d7bbadf4cd8c38d3ca00c30269a654
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