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Ccloud0525Β 
published a model 6 months ago
ContemplatorFRCΒ 
updated a Space 8 months ago
fukushimaavivΒ 
updated a Space 12 months ago
not-lainΒ 
posted an update over 1 year ago
not-lainΒ 
posted an update over 1 year ago
not-lainΒ 
posted an update over 1 year ago
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1845
we now have more than 2000 public AI models using ModelHubMixinπŸ€—
not-lainΒ 
posted an update over 1 year ago
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4188
Published a new blogpost πŸ“–
In this blogpost I have gone through the transformers' architecture emphasizing how shapes propagate throughout each layer.
πŸ”— https://huggingface.co/blog/not-lain/tensor-dims
some interesting takeaways :
not-lainΒ 
posted an update over 1 year ago
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2530
ever wondered how you can make an API call to a visual-question-answering model without sending an image url πŸ‘€

you can do that by converting your local image to base64 and sending it to the API.

recently I made some changes to my library "loadimg" that allows you to make converting images to base64 a breeze.
πŸ”— https://github.com/not-lain/loadimg

API request example πŸ› οΈ:
from loadimg import load_img
from huggingface_hub import InferenceClient

# or load a local image
my_b64_img = load_img(imgPath_url_pillow_or_numpy ,output_type="base64" ) 

client = InferenceClient(api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")

messages = [
	{
		"role": "user",
		"content": [
			{
				"type": "text",
				"text": "Describe this image in one sentence."
			},
			{
				"type": "image_url",
				"image_url": {
					"url": my_b64_img # base64 allows using images without uploading them to the web
				}
			}
		]
	}
]

stream = client.chat.completions.create(
    model="meta-llama/Llama-3.2-11B-Vision-Instruct", 
	messages=messages, 
	max_tokens=500,
	stream=True
)

for chunk in stream:
    print(chunk.choices[0].delta.content, end="")
not-lainΒ 
posted an update almost 2 years ago
not-lainΒ 
posted an update about 2 years ago
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7934
I am now a huggingface fellow πŸ₯³
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Β·
not-lainΒ 
posted an update about 2 years ago
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2752
I have finished writing a blogpost about building an image-based retrieval system, This is one of the first-ever approaches to building such a pipeline using only open-source models/libraries πŸ€—

You can checkout the blogpost in https://huggingface.co/blog/not-lain/image-retriever and the associated space at not-lain/image-retriever .

✨ If you want to request another blog post consider letting me know down below or you can reach out to me through any of my social media

πŸ“– Happy reading !