Instructions to use nadejdatarabukina/caa60a35-907e-4832-a911-f0d06ce23bb2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nadejdatarabukina/caa60a35-907e-4832-a911-f0d06ce23bb2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "nadejdatarabukina/caa60a35-907e-4832-a911-f0d06ce23bb2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nadejdatarabukina/caa60a35-907e-4832-a911-f0d06ce23bb2: direct link, hf CLI and curl.
- Browser
- Download file 503 MB
-
https://huggingface.co/nadejdatarabukina/caa60a35-907e-4832-a911-f0d06ce23bb2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nadejdatarabukina/caa60a35-907e-4832-a911-f0d06ce23bb2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nadejdatarabukina/caa60a35-907e-4832-a911-f0d06ce23bb2/resolve/main/adapter_model.bin
503 MB
- Xet hash:
- 09b5af5c773df320a9cb5647a5f4f67a8d3272b4d06590eebf9a498b30e2c384
- Size of remote file:
- 503 MB
- SHA256:
- 32a2cf0a4ff6f67bb8afc33a1ff9c6b5acaa1679d737c1a5cb0a7cdd250b3131
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