Instructions to use openthaigpt/thai-trocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openthaigpt/thai-trocr 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="openthaigpt/thai-trocr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("openthaigpt/thai-trocr") model = AutoModelForMultimodalLM.from_pretrained("openthaigpt/thai-trocr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 5, | |
| "early_stopping": true, | |
| "eos_token_id": 6, | |
| "length_penalty": 2.0, | |
| "max_length": 64, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.44.2" | |
| } | |