Instructions to use DaMax96/Stick_OCR_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaMax96/Stick_OCR_v4 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="DaMax96/Stick_OCR_v4")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("DaMax96/Stick_OCR_v4") model = AutoModelForImageTextToText.from_pretrained("DaMax96/Stick_OCR_v4") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 0, | |
| "early_stopping": true, | |
| "eos_token_id": 2, | |
| "length_penalty": 2.0, | |
| "max_length": 10, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.36.2", | |
| "use_cache": false | |
| } | |