Spaces:
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import torch | |
from transformers import AutoModelForCausalLM | |
from janus.models import MultiModalityCausalLM, VLChatProcessor | |
import spaces | |
def load_model_and_processor(model_path): | |
vl_chat_processor: VLChatProcessor = VLChatProcessor.from_pretrained(model_path) | |
tokenizer = vl_chat_processor.tokenizer | |
vl_gpt: MultiModalityCausalLM = AutoModelForCausalLM.from_pretrained( | |
model_path, trust_remote_code=True, torch_dtype=torch.bfloat16 | |
) | |
vl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval() | |
return vl_gpt, vl_chat_processor |