Telegram Group & Telegram Channel
📢 Релиз Moondream 2B

Новая vision модель для эйдж девайсов

Поддерживает структурированные выводы, улучшенное понимание текста, отслежтвание взгляда.



from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image

model = AutoModelForCausalLM.from_pretrained(
"vikhyatk/moondream2",
revision="2025-01-09",
trust_remote_code=True,
# Uncomment to run on GPU.
# device_map={"": "cuda"}
)

# Captioning
print("Short caption:")
print(model.caption(image, length="short")["caption"])

print("\nNormal caption:")
for t in model.caption(image, length="normal", stream=True)["caption"]:
# Streaming generation example, supported for caption() and detect()
print(t, end="", flush=True)
print(model.caption(image, length="normal"))

# Visual Querying
print("\nVisual query: 'How many people are in the image?'")
print(model.query(image, "How many people are in the image?")["answer"])

# Object Detection
print("\nObject detection: 'face'")
objects = model.detect(image, "face")["objects"]
print(f"Found {len(objects)} face(s)")

# Pointing
print("\nPointing: 'person'")
points = model.point(image, "person")["points"]
print(f"Found {len(points)} person(s)")


https://huggingface.co/vikhyatk/moondream2


HF: https://huggingface.co/vikhyatk/moondream2

Demo: https://moondream.ai/playground

Github: https://github.com/vikhyat/moondream

@data_analysis_ml



group-telegram.com/data_analysis_ml/3040
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📢 Релиз Moondream 2B

Новая vision модель для эйдж девайсов

Поддерживает структурированные выводы, улучшенное понимание текста, отслежтвание взгляда.



from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image

model = AutoModelForCausalLM.from_pretrained(
"vikhyatk/moondream2",
revision="2025-01-09",
trust_remote_code=True,
# Uncomment to run on GPU.
# device_map={"": "cuda"}
)

# Captioning
print("Short caption:")
print(model.caption(image, length="short")["caption"])

print("\nNormal caption:")
for t in model.caption(image, length="normal", stream=True)["caption"]:
# Streaming generation example, supported for caption() and detect()
print(t, end="", flush=True)
print(model.caption(image, length="normal"))

# Visual Querying
print("\nVisual query: 'How many people are in the image?'")
print(model.query(image, "How many people are in the image?")["answer"])

# Object Detection
print("\nObject detection: 'face'")
objects = model.detect(image, "face")["objects"]
print(f"Found {len(objects)} face(s)")

# Pointing
print("\nPointing: 'person'")
points = model.point(image, "person")["points"]
print(f"Found {len(points)} person(s)")


https://huggingface.co/vikhyatk/moondream2


HF: https://huggingface.co/vikhyatk/moondream2

Demo: https://moondream.ai/playground

Github: https://github.com/vikhyat/moondream

@data_analysis_ml

BY Анализ данных (Data analysis)





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Update March 8, 2022: EFF has clarified that Channels and Groups are not fully encrypted, end-to-end, updated our post to link to Telegram’s FAQ for Cloud and Secret chats, updated to clarify that auto-delete is available for group and channel admins, and added some additional links. As a result, the pandemic saw many newcomers to Telegram, including prominent anti-vaccine activists who used the app's hands-off approach to share false information on shots, a study from the Institute for Strategic Dialogue shows. This provided opportunity to their linked entities to offload their shares at higher prices and make significant profits at the cost of unsuspecting retail investors. "Markets were cheering this economic recovery and return to strong economic growth, but the cheers will turn to tears if the inflation outbreak pushes businesses and consumers to the brink of recession," he added. Groups are also not fully encrypted, end-to-end. This includes private groups. Private groups cannot be seen by other Telegram users, but Telegram itself can see the groups and all of the communications that you have in them. All of the same risks and warnings about channels can be applied to groups.
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Telegram Анализ данных (Data analysis)
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