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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("selvakumarcts/sk_invoice_receipts") model = AutoModelForMultimodalLM.from_pretrained("selvakumarcts/sk_invoice_receipts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 221 Bytes
2ac4657 | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"bos_token_id": 0,
"decoder_start_token_id": 57595,
"eos_token_id": 2,
"forced_eos_token_id": 2,
"max_length": 768,
"pad_token_id": 1,
"transformers_version": "4.34.0.dev0"
}
|