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msgraves ®

Registered: 1 month 12 days

Posts: 12

Post 10-Jun-2024 12:49 | #1 · Author


1.6B parameter model built by @vikhyatk using SigLIP, Phi-1.5 and the LLaVa training dataset. The model is release for research purposes only, commercial use is not allowed.
Try it out on Huggingface Spaces!
pip install transformers timm einops
from transformers import AutoModelForCausalLM, CodeGenTokenizerFast as Tokenizer
from PIL import Image
model_id = "vikhyatk/moondream1"
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
tokenizer = Tokenizer.from_pretrained(model_id)
image ='<IMAGE_PATH>')
enc_image = model.encode_image(image)
print(model.answer_question(enc_image, "<QUESTION>", tokenizer))
reupload #4. I assume this service doesn't like emojis.
moondream1 [].torrent  
Torrent: Registered [ 2024-06-10 12:49 ]

info_hash: 7EC884FDACB80FEAED82A57206EF94E25D8B00C2
info_hash v2: 294F44B520765EAFB5BA920F36A42B216BFE7954830CD14659E0A8B058BD1860

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Downloaded: 7 times
Size: 22.5 GB
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