Instructions to use MrDragonFox/baddy_S3_EXP_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use MrDragonFox/baddy_S3_EXP_1 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 MrDragonFox/baddy_S3_EXP_1 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 MrDragonFox/baddy_S3_EXP_1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MrDragonFox/baddy_S3_EXP_1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="MrDragonFox/baddy_S3_EXP_1", max_seq_length=2048, )
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- transformers
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license: apache-2.0
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language:
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/orpheus-3b-0.1-pretrained
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license: cc-by-nc-4.0
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tags:
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- unsloth
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(m)orpheus t(i)t(t)s
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- Uncensored Orpheus tts
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finetune of orpheus on uncensored/ (un)alingned data to be able to generate more interresting sounds
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SEASION3 - Experiment 1
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speaker name is "baddy" - trained on base
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prob. final checkpoint for the time beeing
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seems to even work with voice cloneing fine if you keep the speaker as baddy
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bug reports / recommendations please in the discord https://discord.gg/RUs3uzBdW3
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training still under way
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does less tags but generalise rather well
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