Instructions to use Gem1832/monkey_06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gem1832/monkey_06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gem1832/monkey_06")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Gem1832/monkey_06", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download speech_tokenizer/configuration.json from Gem1832/monkey_06: direct link, hf CLI and curl.
- Browser
- Download file 76 Bytes
-
https://huggingface.co/Gem1832/monkey_06/resolve/main/speech_tokenizer/configuration.json
- Command line
-
hf download hf://Gem1832/monkey_06/speech_tokenizer/configuration.json
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curl -L -o configuration.json https://huggingface.co/Gem1832/monkey_06/resolve/main/speech_tokenizer/configuration.json
76 Bytes
| {"framework": "pytorch", "task": "feature-extraction", "allow_remote": true} |