Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
unsloth
text-generation-inference
Instructions to use Gapeleon/Orpheus-4b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gapeleon/Orpheus-4b-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gapeleon/Orpheus-4b-base")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Gapeleon/Orpheus-4b-base") model = AutoModelForCausalLM.from_pretrained("Gapeleon/Orpheus-4b-base") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Gapeleon/Orpheus-4b-base 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 Gapeleon/Orpheus-4b-base 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 Gapeleon/Orpheus-4b-base to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Gapeleon/Orpheus-4b-base to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Gapeleon/Orpheus-4b-base", max_seq_length=2048, )
Create generation_config.json
Browse files- generation_config.json +8 -0
generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": 128258,
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"temperature": 0.7,
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"transformers_version": "4.52.4"
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}
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