Instructions to use thalllsssss/f85f1176-9041-4a46-b484-a38b0aec0e8a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/f85f1176-9041-4a46-b484-a38b0aec0e8a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "thalllsssss/f85f1176-9041-4a46-b484-a38b0aec0e8a") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thalllsssss/f85f1176-9041-4a46-b484-a38b0aec0e8a: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/thalllsssss/f85f1176-9041-4a46-b484-a38b0aec0e8a/resolve/main/training_args.bin
- Command line
-
hf download hf://thalllsssss/f85f1176-9041-4a46-b484-a38b0aec0e8a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thalllsssss/f85f1176-9041-4a46-b484-a38b0aec0e8a/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 74241712faf322147df91d5d42f5a3bbaf64cf61bcc7726f21d7b147ea811d67
- Size of remote file:
- 6.78 kB
- SHA256:
- 10c9c4fd9eeb5e4f878e5bc4d5a264fde8e453ed74e417437bf3cc07c6ea5a61
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