Instructions to use allenai/wmt16-en-de-dist-12-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/wmt16-en-de-dist-12-1 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="allenai/wmt16-en-de-dist-12-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/wmt16-en-de-dist-12-1") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/wmt16-en-de-dist-12-1") - Notebooks
- Google Colab
- Kaggle
File size: 825 Bytes
04de7e5 | 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 | {
"architectures": [
"FSMTForConditionalGeneration"
],
"model_type": "fsmt",
"activation_dropout": 0.0,
"activation_function": "relu",
"attention_dropout": 0.0,
"d_model": 512,
"dropout": 0.2,
"init_std": 0.02,
"max_position_embeddings": 10000,
"num_hidden_layers": 12,
"src_vocab_size": 32767,
"tgt_vocab_size": 32767,
"langs": [
"en",
"de"
],
"encoder_attention_heads": 8,
"encoder_ffn_dim": 2048,
"encoder_layerdrop": 0,
"encoder_layers": 12,
"decoder_attention_heads": 8,
"decoder_ffn_dim": 2048,
"decoder_layerdrop": 0,
"decoder_layers": 1,
"bos_token_id": 0,
"pad_token_id": 1,
"eos_token_id": 2,
"is_encoder_decoder": true,
"scale_embedding": true,
"tie_word_embeddings": true,
"num_beams": 5,
"early_stopping": false,
"length_penalty": 0.6
} |