Instructions to use fxmarty/tiny-doc-qa-vision-encoder-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/tiny-doc-qa-vision-encoder-decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="fxmarty/tiny-doc-qa-vision-encoder-decoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("fxmarty/tiny-doc-qa-vision-encoder-decoder") model = AutoModelForMultimodalLM.from_pretrained("fxmarty/tiny-doc-qa-vision-encoder-decoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from fxmarty/tiny-doc-qa-vision-encoder-decoder: direct link, hf CLI and curl.
- Browser
- Download file 165 Bytes
-
https://huggingface.co/fxmarty/tiny-doc-qa-vision-encoder-decoder/resolve/ccfda193d2c976f8da44d68de7a4cafeeef3ff3e/generation_config.json
- Command line
-
hf download hf://fxmarty/tiny-doc-qa-vision-encoder-decoder@ccfda193d2c976f8da44d68de7a4cafeeef3ff3e/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/fxmarty/tiny-doc-qa-vision-encoder-decoder/resolve/ccfda193d2c976f8da44d68de7a4cafeeef3ff3e/generation_config.json
165 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.31.0.dev0" | |
| } | |