Instructions to use FirstPotatoCoder/Genshin-3267 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FirstPotatoCoder/Genshin-3267 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "FirstPotatoCoder/Genshin-3267") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FirstPotatoCoder/Genshin-3267: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/FirstPotatoCoder/Genshin-3267/resolve/main/training_args.bin
- Command line
-
hf download hf://FirstPotatoCoder/Genshin-3267/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/FirstPotatoCoder/Genshin-3267/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- b933b0e80bf9a4cf377c252787b7a315520c8584996cea36864ba28202d0ed42
- Size of remote file:
- 5.24 kB
- SHA256:
- 22fed6d31e835e75a85eeb7f017807e02a1a2a89ed1edbcca6de9caa92228d56
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