Instructions to use nlp-project-uw/quant_1_58b_impl_OneBit_loss_Wasserstein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp-project-uw/quant_1_58b_impl_OneBit_loss_Wasserstein with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlp-project-uw/quant_1_58b_impl_OneBit_loss_Wasserstein", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 256 Bytes
6c43fb4 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"architectures": [
"HFQuantizedSmolModel"
],
"bitlinear_implementation": "OneBit",
"loss_function": "Wasserstein",
"model_type": "quantized_net42",
"quantization": "1_58b",
"torch_dtype": "float32",
"transformers_version": "4.52.4"
}
|