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 direction_Q.pt from junseok520/JAVIS: direct link, hf CLI and curl.
- Browser
- Download file 42.6 kB
-
https://huggingface.co/junseok520/JAVIS/resolve/main/direction_Q.pt
- Command line
-
hf download hf://junseok520/JAVIS/direction_Q.pt
-
curl -L -o direction_Q.pt https://huggingface.co/junseok520/JAVIS/resolve/main/direction_Q.pt
42.6 kB
- Xet hash:
- fc0c829ed75ea3a5a543c79b48793d718c46b899c0a4eb5905a39234f0da2c44
- Size of remote file:
- 42.6 kB
- SHA256:
- a5cdac37c95174a010751c67c6a5d8298fb3896e11e05c54e3acca5f5d0254bf
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