Instructions to use divergent-tech/TaskKickstart-Avatar-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use divergent-tech/TaskKickstart-Avatar-v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("divergent-tech/TaskKickstart-Avatar-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from divergent-tech/TaskKickstart-Avatar-v3: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/divergent-tech/TaskKickstart-Avatar-v3/resolve/main/tokenizer.json
- Command line
-
hf download hf://divergent-tech/TaskKickstart-Avatar-v3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/divergent-tech/TaskKickstart-Avatar-v3/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d3f835122bddb470f53048ff36f1a5116791b8f3a003f9d17b3b03b0b81cc5fe
- Size of remote file:
- 11.4 MB
- SHA256:
- 3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.