Image-to-Text
Transformers
Safetensors
Russian
English
vision-encoder-decoder
image-text-to-text
htr
trocr
Instructions to use LAMAKET/trocr-base-ru-dialectic-stackmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LAMAKET/trocr-base-ru-dialectic-stackmix 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="LAMAKET/trocr-base-ru-dialectic-stackmix")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("LAMAKET/trocr-base-ru-dialectic-stackmix") model = AutoModelForMultimodalLM.from_pretrained("LAMAKET/trocr-base-ru-dialectic-stackmix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from LAMAKET/trocr-base-ru-dialectic-stackmix: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/LAMAKET/trocr-base-ru-dialectic-stackmix/resolve/main/generation_config.json
- Command line
-
hf download hf://LAMAKET/trocr-base-ru-dialectic-stackmix/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/LAMAKET/trocr-base-ru-dialectic-stackmix/resolve/main/generation_config.json
205 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 2, | |
| "max_length": 64, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.44.2", | |
| "use_cache": false | |
| } | |