Instructions to use wisdomadike/tom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wisdomadike/tom with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Coder-30B-A3B-Instruct") model = PeftModel.from_pretrained(base_model, "wisdomadike/tom") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-20/training_args.bin from wisdomadike/tom: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/wisdomadike/tom/resolve/main/checkpoint-20/training_args.bin
- Command line
-
hf download hf://wisdomadike/tom/checkpoint-20/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wisdomadike/tom/resolve/main/checkpoint-20/training_args.bin
5.43 kB
- Xet hash:
- b9da99bf77ebffa4a33ce4eccefc87d76ec57ec9d9b882882e7108e13d526e13
- Size of remote file:
- 5.43 kB
- SHA256:
- d86c2c83e20e4ddb9408fd547b3e0bb1c1225c06e4ea9ac5da73cb2136f43a47
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