Instructions to use FirstPotatoCoder/Genshin_5e_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/Genshin_5e_lm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FirstPotatoCoder/Genshin_5e_lm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use FirstPotatoCoder/Genshin_5e_lm with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FirstPotatoCoder/Genshin_5e_lm to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FirstPotatoCoder/Genshin_5e_lm to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for FirstPotatoCoder/Genshin_5e_lm to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="FirstPotatoCoder/Genshin_5e_lm", max_seq_length=2048, )
- Xet hash:
- edd9b0c60c1af649bc5ad4ef1a98d5d6631e2a2a3911a4b3f088db711cbdea8e
- Size of remote file:
- 4.15 GB
- SHA256:
- 4cc236055d25b2bce1e5e39465837be433c4a6a3464bd61b2f121843638c987e
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