Translation
Transformers
PyTorch
Safetensors
English
Russian
fsmt
text2text-generation
wmt19
facebook
Instructions to use facebook/wmt19-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wmt19-en-ru 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-en-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/wmt19-en-ru") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/wmt19-en-ru", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +7 -0
tokenizer_config.json
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{
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"langs": [
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"en",
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"ru"
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],
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"model_max_length": 1024
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}
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