Instructions to use aalof/seq2seq_imlla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aalof/seq2seq_imlla with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aalof/seq2seq_imlla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "CustomSeq2SeqModel" | |
| ], | |
| "bos_token_id": 0, | |
| "dec_emb_dim": 256, | |
| "decoder_start_token_id": 1, | |
| "dropout": 0.1, | |
| "enc_emb_dim": 256, | |
| "eos_token_id": 2, | |
| "hidden_dim": 256, | |
| "max_position_embeddings": 256, | |
| "model_type": "custom_seq2seq", | |
| "n_layers": 3, | |
| "num_attention_heads": 8, | |
| "pad_token_id": 1, | |
| "share_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.2", | |
| "vocab_size": 28297 | |
| } | |