Instructions to use willtensora/123e4567-e89b-12d3-a456-426614174000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willtensora/123e4567-e89b-12d3-a456-426614174000 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/123e4567-e89b-12d3-a456-426614174000") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from willtensora/123e4567-e89b-12d3-a456-426614174000: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/willtensora/123e4567-e89b-12d3-a456-426614174000/resolve/main/training_args.bin
- Command line
-
hf download hf://willtensora/123e4567-e89b-12d3-a456-426614174000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/willtensora/123e4567-e89b-12d3-a456-426614174000/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 68a6d4641bd779563bbddb01e195fd5149f0f33cf404a2a13f8bfaeafa211123
- Size of remote file:
- 6.78 kB
- SHA256:
- 73188bf0305424d76b9ea5088665962569a9bc8810f03d7474cbac3c135459b7
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