Instructions to use tarabukinivan/8ce5d1ae-86c5-4eb2-99c5-09198388521f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/8ce5d1ae-86c5-4eb2-99c5-09198388521f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "tarabukinivan/8ce5d1ae-86c5-4eb2-99c5-09198388521f") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from tarabukinivan/8ce5d1ae-86c5-4eb2-99c5-09198388521f: direct link, hf CLI and curl.
- Browser
- Download file 32.6 kB
-
https://huggingface.co/tarabukinivan/8ce5d1ae-86c5-4eb2-99c5-09198388521f/resolve/main/adapter_model.bin
- Command line
-
hf download hf://tarabukinivan/8ce5d1ae-86c5-4eb2-99c5-09198388521f/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/tarabukinivan/8ce5d1ae-86c5-4eb2-99c5-09198388521f/resolve/main/adapter_model.bin
32.6 kB
- Xet hash:
- a7eb9bc1b9ae0ca0db308f5a4cf0308fa79c14f5707aa120cf3ab5cba3942821
- Size of remote file:
- 32.6 kB
- SHA256:
- d4ddc04b475f3a4264eb6556b47782fc6bd49bbec90c68942b55c08ffa2f1a6a
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