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FF Image To Recipe

import requests from PIL import Image

TipoText modelVersiónmodelCcalidad

Fuente del modelo

Tipo
Text model
Tamaño del archivo
944 MB
Versión
vmodel
Actualizado
7 oct 2026
Descargas
6
Fuente
Hugging Face

Descripción de la fuente

FF-Image-to-recipe

Inference code


import requests from PIL import Image

from transformers import BlipForConditionalGeneration, AutoProcessor

img_url = 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQuFg4LTHUattLGPU0kLzYpBGHRtuqgJY8Gho3uZe_cg&s' image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB')

model = BlipForConditionalGeneration.from_pretrained("workwithHasnain/FF-Image-to-Recipe").to(device) processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")

inputs = processor(images=image, return_tensors="pt").to(device) pixel_values = inputs.pixel_values generated_ids = model.generate(pixel_values=pixel_values, max_length=50) generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]


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Fuentes

1 fuente
Hugging FacePrincipalVersión 87d3696e0ed9f82c0a950034725d052fc59ed8fc
huggingface.co/workwithHasnain/FF-Image-to-Recipe/tree/87d3696e0ed9f82c0a950034725d052fc59ed8fc

Verificado 7 oct

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1 artefacto

model.safetensors

safetensors · 944 MB · SHA-256 41a358c373bb…a7f7 · Hugging Face

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Extractos de fuentes

3 extractos

--- library_name: transformers license: mit pipeline_tag: image-to-text --- # FF-Image-to-recipe # Inference code --- import requests from PIL import Image from transformers import BlipForConditionalGeneration, AutoProcessor img_url = 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQuFg4LTHUattLGPU0kLzYpBGHRtuqgJY8Gho3uZe_cg&s' image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB') model = BlipForConditionalGeneration.from_pretrained("workwithHasnain/FF-Image-to-Recipe").to(device) processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base") inputs = processor(images=image, return_tensors="pt").to(device) pixel_values = inputs.pixel_values generated_ids = model.generate(pixel_values=pixel_values, max_length=50) generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information...

Source context: 6 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo workwithHasnain/FF-Image-to-Recipe

Source context: 4 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo workwithHasnain/FF-Image-to-Recipe