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 last-checkpoint/adapter_model.safetensors from samoline/37479588-1701-4e45-8bdc-0168e79fd2ab: direct link, hf CLI and curl.
- Browser
- Download file 42 MB
-
https://huggingface.co/samoline/37479588-1701-4e45-8bdc-0168e79fd2ab/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://samoline/37479588-1701-4e45-8bdc-0168e79fd2ab/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/samoline/37479588-1701-4e45-8bdc-0168e79fd2ab/resolve/main/last-checkpoint/adapter_model.safetensors
42 MB
- Xet hash:
- 55d21514242960c036ebce056b43245c25587fd71275b1f7ee67229f02965d7a
- Size of remote file:
- 42 MB
- SHA256:
- 56e9793ee409a0358a25ba7b19683e4526efa464f73aed57806de1e94ee72729
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