Text-to-Speech
Transformers
Safetensors
German
llama
text-generation
fp8
compressed-tensors
text-generation-inference
Instructions to use DigitalLearningGmbH/orpheus-3b-de-ft-research_release-FP8-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DigitalLearningGmbH/orpheus-3b-de-ft-research_release-FP8-Dynamic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="DigitalLearningGmbH/orpheus-3b-de-ft-research_release-FP8-Dynamic")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DigitalLearningGmbH/orpheus-3b-de-ft-research_release-FP8-Dynamic") model = AutoModelForCausalLM.from_pretrained("DigitalLearningGmbH/orpheus-3b-de-ft-research_release-FP8-Dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!