Translation
Transformers
Safetensors
English
Hindi
lstm_seq2seq_en_hi
text2text-generation
se2seq2014
custom_code
Instructions to use kd13/nano-translate-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kd13/nano-translate-v1 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="kd13/nano-translate-v1", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("kd13/nano-translate-v1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Seq2SeqHFModel" | |
| ], | |
| "bos_token_id": 2, | |
| "dropout": 0.15, | |
| "dtype": "float32", | |
| "embed_dim": 1000, | |
| "eos_token_id": 3, | |
| "hidden_dim": 1000, | |
| "model_type": "lstm_seq2seq_en_hi", | |
| "num_layers": 4, | |
| "pad_token_id": 1, | |
| "transformers_version": "5.0.0", | |
| "vocab_size": 52000, | |
| "auto_map": { | |
| "AutoConfig": "configuration_lstm_seq2seq_en_hi.Seq2SeqConfig", | |
| "AutoModelForSeq2SeqLM": "modeling_lstm_seq2seq_en_hi.Seq2SeqHFModel" | |
| }, | |
| "is_encoder_decoder": true | |
| } |