Instructions to use vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db 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, "vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db: direct link, hf CLI and curl.
- Browser
- Download file 55.2 kB
-
https://huggingface.co/vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db/resolve/main/adapter_model.bin
- Command line
-
hf download hf://vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/vdos/f6f0adda-6cc5-4869-a9f2-6584947c40db/resolve/main/adapter_model.bin
55.2 kB
- Xet hash:
- 79daa9f035ac4950fcaceea467365308a07531014c1f6fa4531559e9d8b08574
- Size of remote file:
- 55.2 kB
- SHA256:
- 70f17ef1e970a8eddaa673f66097e417501933ba3f68202e8599f625196cea29
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