Instructions to use samoline/37479588-1701-4e45-8bdc-0168e79fd2ab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samoline/37479588-1701-4e45-8bdc-0168e79fd2ab with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "samoline/37479588-1701-4e45-8bdc-0168e79fd2ab") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from samoline/37479588-1701-4e45-8bdc-0168e79fd2ab: direct link, hf CLI and curl.
- Browser
- Download file 42.1 MB
-
https://huggingface.co/samoline/37479588-1701-4e45-8bdc-0168e79fd2ab/resolve/7d54094a42b627abc734c5379f23ed0b816567b5/adapter_model.bin
- Command line
-
hf download hf://samoline/37479588-1701-4e45-8bdc-0168e79fd2ab@7d54094a42b627abc734c5379f23ed0b816567b5/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/samoline/37479588-1701-4e45-8bdc-0168e79fd2ab/resolve/7d54094a42b627abc734c5379f23ed0b816567b5/adapter_model.bin
42.1 MB
- Xet hash:
- e392713c456d95eb90748126842ffbd5fa09bf5aec2a88f79d901fdcda137b0b
- Size of remote file:
- 42.1 MB
- SHA256:
- 335bd0f50765041e1ef35a5229fbd48fbe241c7cca2ef41d81208c82b8cd1538
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