LSTP-Chat: Language-guided Spatial-Temporal Prompt Learning for Video Chat
Available Models:
LSTP-Chat-7B (Vicuna-7b)
For more details, please refer to our official repository
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HelpingAI-Vision
Model details
The fundamental concept behind HelpingAI-Vision is to generate one token embedding per N parts of an image, as opposed to producing N…
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See its paper: https://huggingface.co/papers/2402.16641
Load Model
import torch
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("q-future/co-instruct" ,
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Update: PR is merged, llama.cpp now natively supports these models Important: Verify that processing a simple question with any image at least uses 1200 tokens of prompt processing, that shows…