Image-to-Text
Transformers
Safetensors
Azerbaijani
glm_ocr
image-text-to-text
ocr
vision-language
markdown
azerbaijani
Instructions to use orucexe/azocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orucexe/azocr 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="orucexe/azocr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("orucexe/azocr") model = AutoModelForMultimodalLM.from_pretrained("orucexe/azocr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from orucexe/azocr: direct link, hf CLI and curl.
- Browser
- Download file 162 Bytes
-
https://huggingface.co/orucexe/azocr/resolve/main/generation_config.json
- Command line
-
hf download hf://orucexe/azocr/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/orucexe/azocr/resolve/main/generation_config.json
162 Bytes
| { | |
| "_from_model_config": true, | |
| "do_sample": false, | |
| "eos_token_id": [ | |
| 59246, | |
| 59253 | |
| ], | |
| "pad_token_id": 59246, | |
| "transformers_version": "5.15.1" | |
| } | |