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
Commit History
20 days ago
-
Upgrade to professional Laya Edge-AI ONNX WebGPU-optimized and FP16 quantized models
Verified signature56d7497 -
Upgrade to professional Laya Edge-AI ONNX WebGPU-optimized models
Verified signaturebae77e3 -
Upload folder using huggingface_hub
Verified signature0f7a693 -
Upload SmolVLM Receipt AI best model (LoRA adapter + WebGPU ONNX weights + model card)
Verified signature327d525 -
initial commit
Verified signature5e2ec16