Instructions to use ancient41/67462206-3c05-4f4e-9db5-215e69f3ac1a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ancient41/67462206-3c05-4f4e-9db5-215e69f3ac1a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "ancient41/67462206-3c05-4f4e-9db5-215e69f3ac1a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ancient41/67462206-3c05-4f4e-9db5-215e69f3ac1a: direct link, hf CLI and curl.
- Browser
- Download file 231 kB
-
https://huggingface.co/ancient41/67462206-3c05-4f4e-9db5-215e69f3ac1a/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ancient41/67462206-3c05-4f4e-9db5-215e69f3ac1a/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ancient41/67462206-3c05-4f4e-9db5-215e69f3ac1a/resolve/main/adapter_model.bin
231 kB
- Xet hash:
- 4778731a06bd7557d269911eeb93542a5dbbb307ec5523673247d5ae1b90e646
- Size of remote file:
- 231 kB
- SHA256:
- bedd1614fa622ea43076cd399d0c936a4165293414fc7cf6bca6e623c9f23385
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