# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("3it/TransVerse-v1")
model = AutoModelForCausalLM.from_pretrained("3it/TransVerse-v1")Quick Links
This model contains the weights of pretrained TransVerse model covering text-image-video-audio (tiva), which is built upon
- Vicuna-7B with version 0
- Stable Diffusion with version
v1-5.
- Stable Diffusion with version
- AudioLDM with version
l-full.
- AudioLDM with version
- ZeroScope with version
v2_576w.
- ZeroScope with version
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="3it/TransVerse-v1")