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:
- b2a8e44ab7706d074ffaa7514c67704e44ea9a78777c24f52d81c44b4f5953bb
- Size of remote file:
- 3.5 GB
- SHA256:
- bb608bcae2a47a1a9e6cfb01f0f36d84df12c943ec3c188c34373e17c0780815
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