Instructions to use TohidA/LlamaInstructMona with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TohidA/LlamaInstructMona with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mlabonne/llama-2-7b-miniguanaco") model = PeftModel.from_pretrained(base_model, "TohidA/LlamaInstructMona") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from TohidA/LlamaInstructMona: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/TohidA/LlamaInstructMona/resolve/main/adapter_model.bin
- Command line
-
hf download hf://TohidA/LlamaInstructMona/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/TohidA/LlamaInstructMona/resolve/main/adapter_model.bin
33.6 MB
- Xet hash:
- 02a0906c84de4eedb8125814cb15aa1be2515af526de2c0aa27493cc2e60a0be
- Size of remote file:
- 33.6 MB
- SHA256:
- 97f9b445c44f874195f27e57c1d6e33168d079507882ad95f288d7c7c13887f8
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