Instructions to use alchemist69/41a8ed3f-e82a-461c-9e54-3475d33069c9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/41a8ed3f-e82a-461c-9e54-3475d33069c9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Math-7B-Instruct") model = PeftModel.from_pretrained(base_model, "alchemist69/41a8ed3f-e82a-461c-9e54-3475d33069c9") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from alchemist69/41a8ed3f-e82a-461c-9e54-3475d33069c9: direct link, hf CLI and curl.
- Browser
- Download file 646 MB
-
https://huggingface.co/alchemist69/41a8ed3f-e82a-461c-9e54-3475d33069c9/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://alchemist69/41a8ed3f-e82a-461c-9e54-3475d33069c9/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/alchemist69/41a8ed3f-e82a-461c-9e54-3475d33069c9/resolve/main/adapter_model.safetensors
646 MB
- Xet hash:
- f8d591b9e9cf0ae7388166ab186952c90c01a66280d470cabda8ec64f452f76d
- Size of remote file:
- 646 MB
- SHA256:
- b3cba4e5b5903002c04053d276a5971a9088d4365db13f547b141caad22eb187
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