Translation
Transformers
ONNX
Safetensors
English
Turkish
marian
text2text-generation
LiteRT
Helsinki-NLP/tatoeba
openlanguagedata/flores_plus
teradata
Instructions to use Teradata/opus-mt_tiny_eng-tur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/opus-mt_tiny_eng-tur 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-tur")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Teradata/opus-mt_tiny_eng-tur") model = AutoModelForSeq2SeqLM.from_pretrained("Teradata/opus-mt_tiny_eng-tur") - Notebooks
- Google Colab
- Kaggle
File size: 957 Bytes
1d09435 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | {
"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
}
|