Instructions to use PhilipC/HumanOmniV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhilipC/HumanOmniV2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("PhilipC/HumanOmniV2") model = AutoModelForMultimodalLM.from_pretrained("PhilipC/HumanOmniV2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from PhilipC/HumanOmniV2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/PhilipC/HumanOmniV2/resolve/main/tokenizer.json
- Command line
-
hf download hf://PhilipC/HumanOmniV2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/PhilipC/HumanOmniV2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- f1841121a49f30bd023659144009e39cd581dab1e1fdd75fad4a50425f6fc216
- Size of remote file:
- 11.4 MB
- SHA256:
- f9711e245647e88538786834977dc8afb51172e879ee661352c587cf01efd6b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.