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 tokenizer.json from FirstPotatoCoder/Genshin-3267: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/FirstPotatoCoder/Genshin-3267/resolve/main/tokenizer.json
- Command line
-
hf download hf://FirstPotatoCoder/Genshin-3267/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FirstPotatoCoder/Genshin-3267/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- ef471e4e29eea3d7a3f55a1ff351e8fd993ef8a101ccd0a14fbdb940891139e2
- Size of remote file:
- 17.2 MB
- SHA256:
- 529d18ee0f18a8a446ae0b4310c6675823231b366a7ea3fddfc488cf7f2277d6
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