Instructions to use dimasik87/4e28cde6-8ba7-4064-8ab0-0b6c6ee61037 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/4e28cde6-8ba7-4064-8ab0-0b6c6ee61037 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-13b-v8.1-fp16") model = PeftModel.from_pretrained(base_model, "dimasik87/4e28cde6-8ba7-4064-8ab0-0b6c6ee61037") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from dimasik87/4e28cde6-8ba7-4064-8ab0-0b6c6ee61037: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/dimasik87/4e28cde6-8ba7-4064-8ab0-0b6c6ee61037/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://dimasik87/4e28cde6-8ba7-4064-8ab0-0b6c6ee61037/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/dimasik87/4e28cde6-8ba7-4064-8ab0-0b6c6ee61037/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- a0d39f327648662291faf8c571b8f36486c7590965e6e8c1c6f8a53d51c69993
- Size of remote file:
- 1.06 kB
- SHA256:
- c188a6a4749e6ca627bb6d536eb7443f499d5b1b88d98a78f9c713443e010d9c
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