Instructions to use smajumdar/abc5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use smajumdar/abc5 with NeMo:
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- Notebooks
- Google Colab
- Kaggle
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- module.decoder.final_layernorm.bias
- module.decoder.final_layernorm.weight
- module.decoder.layers.mlp.linear_fc1._extra_state
- module.decoder.layers.mlp.linear_fc1.bias
- module.decoder.layers.mlp.linear_fc1.layer_norm_bias
- module.decoder.layers.mlp.linear_fc1.layer_norm_weight
- module.decoder.layers.mlp.linear_fc1.weight
- module.decoder.layers.mlp.linear_fc2._extra_state
- module.decoder.layers.mlp.linear_fc2.bias
- module.decoder.layers.mlp.linear_fc2.weight
- module.decoder.layers.self_attention.linear_proj._extra_state
- module.decoder.layers.self_attention.linear_proj.bias
- module.decoder.layers.self_attention.linear_proj.weight
- module.decoder.layers.self_attention.linear_qkv._extra_state
- module.decoder.layers.self_attention.linear_qkv.bias
- module.decoder.layers.self_attention.linear_qkv.layer_norm_bias
- module.decoder.layers.self_attention.linear_qkv.layer_norm_weight
- module.decoder.layers.self_attention.linear_qkv.weight
- module.embedding.position_embeddings.weight
- module.embedding.word_embeddings.weight
- module.output_layer.weight
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- 113 Bytes