Instructions to use InternScience/ChartVLM-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternScience/ChartVLM-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternScience/ChartVLM-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download base_decoder/generation_config.json from InternScience/ChartVLM-large: direct link, hf CLI and curl.
- Browser
- Download file 164 Bytes
-
https://huggingface.co/InternScience/ChartVLM-large/resolve/main/base_decoder/generation_config.json
- Command line
-
hf download hf://InternScience/ChartVLM-large/base_decoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/InternScience/ChartVLM-large/resolve/main/base_decoder/generation_config.json
164 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.29.1", | |
| "use_cache": false | |
| } | |