Instructions to use TideDra/llava-v1.6-34b-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TideDra/llava-v1.6-34b-processor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TideDra/llava-v1.6-34b-processor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from TideDra/llava-v1.6-34b-processor: direct link, hf CLI and curl.
- Browser
- Download file 95 Bytes
-
https://huggingface.co/TideDra/llava-v1.6-34b-processor/resolve/main/added_tokens.json
- Command line
-
hf download hf://TideDra/llava-v1.6-34b-processor/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/TideDra/llava-v1.6-34b-processor/resolve/main/added_tokens.json
95 Bytes
| { | |
| "<image>": 64002, | |
| "<pad>": 64003, | |
| "<|endoftext|>": 64001, | |
| "<|startoftext|>": 64000 | |
| } | |