Robotics
Transformers
Safetensors
English
glm4v
image-text-to-text
computer-vision
spatial-reasoning
vision-language-model
multi-modal
fine-tuned
Instructions to use hany01rye/TIGeR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hany01rye/TIGeR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hany01rye/TIGeR") model = AutoModelForMultimodalLM.from_pretrained("hany01rye/TIGeR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from hany01rye/TIGeR: direct link, hf CLI and curl.
- Browser
- Download file 778 Bytes
-
https://huggingface.co/hany01rye/TIGeR/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://hany01rye/TIGeR/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/hany01rye/TIGeR/resolve/main/special_tokens_map.json
778 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<|endoftext|>", | |
| "[MASK]", | |
| "[gMASK]", | |
| "[sMASK]", | |
| "<sop>", | |
| "<eop>", | |
| "<|system|>", | |
| "<|user|>", | |
| "<|assistant|>", | |
| "<|observation|>", | |
| "<|begin_of_image|>", | |
| "<|end_of_image|>", | |
| "<|begin_of_video|>", | |
| "<|end_of_video|>", | |
| "<|image|>", | |
| "<|video|>", | |
| { | |
| "content": "</answer>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| ], | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |