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 processor_config.json from junseok520/JAVIS: direct link, hf CLI and curl.
- Browser
- Download file 218 Bytes
-
https://huggingface.co/junseok520/JAVIS/resolve/main/processor_config.json
- Command line
-
hf download hf://junseok520/JAVIS/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/junseok520/JAVIS/resolve/main/processor_config.json
218 Bytes
| { | |
| "audio_bos_token": "<|audio_bos|>", | |
| "audio_eos_token": "<|audio_eos|>", | |
| "audio_group_size": 5, | |
| "audio_pad_token": "<|audio_pad|>", | |
| "audio_token": "<|AUDIO|>", | |
| "processor_class": "FunAudioChatProcessor" | |
| } | |