Instructions to use WesleySantos/mistral-finetuned-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use WesleySantos/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, "WesleySantos/mistral-finetuned-samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf31dde2bdee9a1e22b7c655573d6a07d90e30c38e57b3897d12617378359fad
- Size of remote file:
- 27.3 MB
- SHA256:
- 51d278c744a2d39de343934086d699bbb5a1b8ccba7b8386c83303c52884a8b3
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