Instructions to use Lakoc/experiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakoc/experiment with Transformers:
# Load model directly from transformers import JointCTCAttentionEncoderDecoder model = JointCTCAttentionEncoderDecoder.from_pretrained("Lakoc/experiment", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf69646eb700e393f2ded0d53fb9751aec4dc003d19231f7e8961a255675ecba
- Size of remote file:
- 144 MB
- SHA256:
- 497190bb024e75b6d0e560b39282d01acefc76355f3940c66b2ac852a3d3a9c5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.