Video-Text-to-Text
Transformers
Safetensors
English
KeyeVL1_5
feature-extraction
multimodal
custom_code
Instructions to use Ranker644t7/Keye-VL-1_5-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ranker644t7/Keye-VL-1_5-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ranker644t7/Keye-VL-1_5-8B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Ranker644t7/Keye-VL-1_5-8B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Ranker644t7/Keye-VL-1_5-8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ranker644t7/Keye-VL-1_5-8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ranker644t7/Keye-VL-1_5-8B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 7c92ea16c0cbe18af2b016b9245d89b4201832556ffc36c694225c7469bb54a2
- Size of remote file:
- 11.4 MB
- SHA256:
- 7ceaf87113caa06d8b2e2f6966ab11d12ac590cb887b64c591cae70ea89245f4
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