Instructions to use CLMBR/binding-case-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06d22984d59a2322ffe69cce4067c51bc72d5a84455a5e0a438ab63ef987ad8d
- Size of remote file:
- 4.22 kB
- SHA256:
- 2b30e565f85fba448c59e23638da20a339fe5f8fe53b1b78c94eee4adb54ee0e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.