Instructions to use hf-internal-testing/tiny-random-LlavaForConditionalGeneration-chat-template with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LlavaForConditionalGeneration-chat-template with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-LlavaForConditionalGeneration-chat-template", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c21309073ac4d6908606c01be169f981f47480ab43dc8dbd983d63c1d94a91e5
- Size of remote file:
- 11.4 MB
- SHA256:
- e09f1889210ae8f16539761f6a6d645641eb8e583d22c6f36c92d253e247887f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.