Instructions to use Gem1832/monkey_02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gem1832/monkey_02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gem1832/monkey_02")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Gem1832/monkey_02") model = AutoModelForCausalLM.from_pretrained("Gem1832/monkey_02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Gem1832/monkey_02: direct link, hf CLI and curl.
- Browser
- Download file 5.41 MB
-
https://huggingface.co/Gem1832/monkey_02/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Gem1832/monkey_02/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/Gem1832/monkey_02/resolve/main/tokenizer_config.json
5.41 MB
File too large to display, you can check the raw version instead.