Instructions to use selvakumarcts/sk_invoice_receipts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selvakumarcts/sk_invoice_receipts with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="selvakumarcts/sk_invoice_receipts")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("selvakumarcts/sk_invoice_receipts") model = AutoModelForImageTextToText.from_pretrained("selvakumarcts/sk_invoice_receipts") - Notebooks
- Google Colab
- Kaggle
How to switch output
1
#3 opened almost 2 years ago
by
jarrettsorensen
Enabling Inference Endpoints
#2 opened over 2 years ago
by
TakMaz
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot