Instructions to use mindoval/fles1-v14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mindoval/fles1-v14 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mindoval/fles1-v14", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "bert-base-uncased", | |
| "vocab_size": 30522, | |
| "hidden_size": 768, | |
| "max_length": 256, | |
| "threshold": 0.0, | |
| "lambda_q": 0.0001, | |
| "lambda_d": 0.0001, | |
| "temperature": 0.05, | |
| "transform": "log1p_relu", | |
| "pooling": "max" | |
| } |