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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbb085ac387f67624ebd002db54d4c44588bfae76af95b5ec08736b14e489938
- Size of remote file:
- 5.5 kB
- SHA256:
- 83e20c7760c47aba085f976ad51bc33a34ea222fa1c759f602411842c48a0bb6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.