Instructions to use willtensora/6855a110-475c-46bb-b9ba-0806f27375d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willtensora/6855a110-475c-46bb-b9ba-0806f27375d3 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, "willtensora/6855a110-475c-46bb-b9ba-0806f27375d3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from willtensora/6855a110-475c-46bb-b9ba-0806f27375d3: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/willtensora/6855a110-475c-46bb-b9ba-0806f27375d3/resolve/main/training_args.bin
- Command line
-
hf download hf://willtensora/6855a110-475c-46bb-b9ba-0806f27375d3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/willtensora/6855a110-475c-46bb-b9ba-0806f27375d3/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 0797310e0600d8d106c964e56d335f284620216084ce8728dae906e8fae47e81
- Size of remote file:
- 6.78 kB
- SHA256:
- e01ea5bed02c2a825b33790e92b2583229139cf6688ae72d89ade983b4c73511
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