Instructions to use gslinx/llamaicd10v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gslinx/llamaicd10v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-70b-chat-hf") model = PeftModel.from_pretrained(base_model, "gslinx/llamaicd10v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09afbfafa751722df0dcde23840a07a24ee9e97aaf0e7ff6d38fdac5b2dc28a3
- Size of remote file:
- 4.73 kB
- SHA256:
- 0f3057fb674ef2e950e3a89ffd3f27a253cb5a6948909b563251cc698bd21019
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