Image-Text-to-Text
PEFT
ONNX
Safetensors
Transformers.js
Arabic
English
roberta
feature-extraction
lora
receipt-understanding
key-information-extraction
zatca
webgpu
conversational
Instructions to use osos3lom/receiptai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use osos3lom/receiptai with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolVLM-256M-Instruct") model = PeftModel.from_pretrained(base_model, "osos3lom/receiptai") - Transformers.js
How to use osos3lom/receiptai with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-text-to-text', 'osos3lom/receiptai'); - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from osos3lom/receiptai: direct link, hf CLI and curl.
- Browser
- Download file 72 Bytes
-
https://huggingface.co/osos3lom/receiptai/resolve/main/processor_config.json
- Command line
-
hf download hf://osos3lom/receiptai/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/osos3lom/receiptai/resolve/main/processor_config.json
72 Bytes
| { | |
| "image_seq_len": 64, | |
| "processor_class": "Idefics3Processor" | |
| } | |