Instructions to use thomheinrich/CEREBORN-3step-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thomheinrich/CEREBORN-3step-german with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "thomheinrich/CEREBORN-3step-german") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thomheinrich/CEREBORN-3step-german: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/thomheinrich/CEREBORN-3step-german/resolve/main/training_args.bin
- Command line
-
hf download hf://thomheinrich/CEREBORN-3step-german/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thomheinrich/CEREBORN-3step-german/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 040141031701fa7bef32553cd8fdbea82414f860e045be4848c66bdcb3197aab
- Size of remote file:
- 5.62 kB
- SHA256:
- e3c6d8c3a3982cd3a2f088cdcf670f66e01214800361c84d4caad0fd37cbb049
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