Any-to-Any
Transformers
Safetensors
funaudiochat
text-generation
audio-visual
spoken-dialogue
talking-head
streaming
Instructions to use junseok520/JAVIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junseok520/JAVIS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("junseok520/JAVIS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download speech_tokenizer/tokenizer_config.json from junseok520/JAVIS: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/junseok520/JAVIS/resolve/main/speech_tokenizer/tokenizer_config.json
- Command line
-
hf download hf://junseok520/JAVIS/speech_tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/junseok520/JAVIS/resolve/main/speech_tokenizer/tokenizer_config.json
1.14 MB
File too large to display, you can check the raw version instead.