Instructions to use moelanoby/kok-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moelanoby/kok-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moelanoby/kok-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "bucket-memory-model", | |
| "vocab_size": 30522, | |
| "d_model": 1024, | |
| "num_layers": 12, | |
| "num_buckets": 8, | |
| "min_bucket_size": 1, | |
| "max_bucket_size": 32, | |
| "max_seq_length": 1024, | |
| "dropout": 0.1 | |
| } | |