Instructions to use dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306 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, "dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- cc0e5a2f5486d8f8ba7b54b2df095a53bbaf806d035c0f02402dc9a896e18307
- Size of remote file:
- 1.06 kB
- SHA256:
- dde78f0152770b6d9ff9d100a4e49fd7ae2ec975980251062a46af49a9f251c7
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