Translation
Transformers
ONNX
Safetensors
English
Italian
marian
text2text-generation
LiteRT
Helsinki-NLP/tatoeba
openlanguagedata/flores_plus
teradata
Instructions to use Teradata/opus-mt_tiny_eng-ita with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/opus-mt_tiny_eng-ita 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="Teradata/opus-mt_tiny_eng-ita")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Teradata/opus-mt_tiny_eng-ita") model = AutoModelForSeq2SeqLM.from_pretrained("Teradata/opus-mt_tiny_eng-ita") - Notebooks
- Google Colab
- Kaggle
| { | |
| "activation_dropout": 0.0, | |
| "activation_function": "relu", | |
| "architectures": [ | |
| "MarianMTModel" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "d_model": 256, | |
| "decoder_attention_heads": 8, | |
| "decoder_ffn_dim": 1536, | |
| "decoder_layerdrop": 0.0, | |
| "decoder_layers": 2, | |
| "decoder_start_token_id": 32000, | |
| "decoder_vocab_size": 32001, | |
| "dropout": 0.1, | |
| "dtype": "float16", | |
| "encoder_attention_heads": 8, | |
| "encoder_ffn_dim": 1536, | |
| "encoder_layerdrop": 0.0, | |
| "encoder_layers": 6, | |
| "eos_token_id": 0, | |
| "forced_eos_token_id": 0, | |
| "init_std": 0.02, | |
| "is_encoder_decoder": true, | |
| "max_length": null, | |
| "max_position_embeddings": 256, | |
| "model_type": "marian", | |
| "normalize_embedding": false, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 32000, | |
| "scale_embedding": true, | |
| "share_encoder_decoder_embeddings": true, | |
| "static_position_embeddings": true, | |
| "transformers_version": "4.57.6", | |
| "use_cache": true, | |
| "vocab_size": 32001 | |
| } | |