Translation
Transformers
PyTorch
Safetensors
German
English
fsmt
text2text-generation
wmt19
facebook
Instructions to use facebook/wmt19-de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wmt19-de-en 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="facebook/wmt19-de-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/wmt19-de-en") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/wmt19-de-en") - Inference
- Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "length_penalty": 1.1, | |
| "max_length": 200, | |
| "num_beams": 5, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.27.0.dev0" | |
| } | |