Instructions to use codegood/Mistral_SC_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/Mistral_SC_QA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("alexsherstinsky/Mistral-7B-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "codegood/Mistral_SC_QA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1378ed55201fba6f6a690f309d01b2351e7182f551e611914f54fd2a946b8e98
- Size of remote file:
- 4.54 kB
- SHA256:
- 28835272fd9b1fdce4e4163998c59e4a56fcb392e4291acd7f724d424e38ea4b
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