Instructions to use codegood/Mistral_new_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/Mistral_new_data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("filipealmeida/Mistral-7B-Instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "codegood/Mistral_new_data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6fa9dfed6e31709b8dcc63d4b4b10241467486119414714ba7ccfb66d6479e1
- Size of remote file:
- 4.54 kB
- SHA256:
- c9050ac95b31922aeec67f23dd99caf1fa846c1a5c67e5c21e9b5ca80aef19dc
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