Instructions to use coinplusfire/coinplusfire_llm_full_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use coinplusfire/coinplusfire_llm_full_2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "coinplusfire/coinplusfire_llm_full_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1da81cf249d818f8a80db4f0a0800088b26bc550a30f8836f25bc7b5426ac1a0
- Size of remote file:
- 4.92 kB
- SHA256:
- 97e520e696be067b3d435cae726db25f83ef2a31d97c9589b74c4beb07304c07
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