Instructions to use kapilgaikwad/mistral-finetuned-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kapilgaikwad/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, "kapilgaikwad/mistral-finetuned-samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58df80bf43ad587defdbd0aae3725bcaea704049ac689a47024586160b5115c0
- Size of remote file:
- 27.3 MB
- SHA256:
- adde4f99a4314a7ec2a2eff9a3b0e032dfe3ef47456b9269f30eaeea817abde9
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