Instructions to use bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc: direct link, hf CLI and curl.
- Browser
- Download file 13.6 MB
-
https://huggingface.co/bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/resolve/main/last-checkpoint/adapter_model.safetensors
13.6 MB
- Xet hash:
- 75f968913c87809e5592b4cbe04e2ee04a75042f387f5d653e4032ddf82bb11d
- Size of remote file:
- 13.6 MB
- SHA256:
- c368789bd1e2e440cd6aa0b3282bf5b100731b81da18b7966ca480c8a7e2bf7a
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