Instructions to use NatureUniverse/playground-v2-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NatureUniverse/playground-v2-training with Transformers:
# Load model directly from transformers import AutoTokenizer, CLIPTextModelWithProjection tokenizer = AutoTokenizer.from_pretrained("NatureUniverse/playground-v2-training") model = CLIPTextModelWithProjection.from_pretrained("NatureUniverse/playground-v2-training") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f143a052a420cee68c6a5adbc37f63df964d1295b68fd699f6b4aeabd744877
- Size of remote file:
- 2.78 GB
- SHA256:
- 01854181cb926f2b305bae76ba3bbacf9f8f6eff785aeafb8b22a3e8fbe4b9b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.