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Lucain Pouget PRO

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updated a dataset about 2 hours ago

Wauplin/example-space-to-dataset-json

new activity about 7 hours ago

huggingface/HuggingDiscussions:[FEEDBACK] Follow

reacted to not-lain's post with 🔥 3 days ago

ever wondered how you can make an API call to a visual-question-answering model without sending an image url 👀 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. 🔗 https://github.com/not-lain/loadimg API request example 🛠️: ```python 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="") ```

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published an article about 1 year ago

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TTS Arena: Benchmarking Text-to-Speech Models in the Wild

Feb 27, 2024

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