Instructions to use lambda/text2bricks-360p-32f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lambda/text2bricks-360p-32f with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import STDiT2 model = STDiT2.from_pretrained("lambda/text2bricks-360p-32f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00002.bin from lambda/text2bricks-360p-32f: direct link, hf CLI and curl.
- Browser
- Download file 465 MB
-
https://huggingface.co/lambda/text2bricks-360p-32f/resolve/main/pytorch_model-00002.bin
- Command line
-
hf download hf://lambda/text2bricks-360p-32f/pytorch_model-00002.bin
-
curl -L -o pytorch_model-00002.bin https://huggingface.co/lambda/text2bricks-360p-32f/resolve/main/pytorch_model-00002.bin
465 MB
- Xet hash:
- 420d6a921c822a7c3aef7b44285df9e8ce04fbc9338f6d02d940ab49f2fb4077
- Size of remote file:
- 465 MB
- SHA256:
- 8f0f95e63fe66ff3e160df2c35982e479484365b574d52400cf67016a07df1d4
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