Instructions to use nttx/a87e83dd-461b-4307-8efa-ee0080a0f852 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/a87e83dd-461b-4307-8efa-ee0080a0f852 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "nttx/a87e83dd-461b-4307-8efa-ee0080a0f852") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nttx/a87e83dd-461b-4307-8efa-ee0080a0f852: direct link, hf CLI and curl.
- Browser
- Download file 332 MB
-
https://huggingface.co/nttx/a87e83dd-461b-4307-8efa-ee0080a0f852/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nttx/a87e83dd-461b-4307-8efa-ee0080a0f852/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nttx/a87e83dd-461b-4307-8efa-ee0080a0f852/resolve/main/adapter_model.bin
332 MB
- Xet hash:
- 36b7d4e897bfb7353ab28e95d527b978e5b86aabc1443f2e9bbc00a03824e849
- Size of remote file:
- 332 MB
- SHA256:
- e90d6ce93036d2e0b2e6aaa0ffece38f86223c7e94add8dbb3e44dbdb202ff1c
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