Instructions to use chazokada/qwen3_32b_combined_morse_code_s2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chazokada/qwen3_32b_combined_morse_code_s2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chazokada/qwen3_32b_combined_morse_code_s2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from chazokada/qwen3_32b_combined_morse_code_s2: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/chazokada/qwen3_32b_combined_morse_code_s2/resolve/main/training_args.bin
- Command line
-
hf download hf://chazokada/qwen3_32b_combined_morse_code_s2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chazokada/qwen3_32b_combined_morse_code_s2/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- b4b3a50dbc549735dce2d7edf057b5a8754f2e728527d0dd1925bd56443a5046
- Size of remote file:
- 5.91 kB
- SHA256:
- af9f794852140bab2a95dddc04057233c22ae8bddc6ab16f01065efae7a07b66
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