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/scheduler.pt from samoline/37479588-1701-4e45-8bdc-0168e79fd2ab: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/samoline/37479588-1701-4e45-8bdc-0168e79fd2ab/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://samoline/37479588-1701-4e45-8bdc-0168e79fd2ab/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/samoline/37479588-1701-4e45-8bdc-0168e79fd2ab/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- c559d1d270fc77ded1ae0757be23b2f1e3155e8aae88c4d2e61cee6eaacc52f9
- Size of remote file:
- 1.06 kB
- SHA256:
- a2972d8cacb091bd0e98bfff54b2e4933301753087ce149a9bf9a205a5e2d795
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