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
File size: 460 Bytes
8baad91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"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
}
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