Translation
Transformers
PyTorch
Safetensors
Russian
English
fsmt
text2text-generation
wmt19
facebook
Instructions to use facebook/wmt19-ru-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wmt19-ru-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-ru-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/wmt19-ru-en") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/wmt19-ru-en", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/wmt19-ru-en: direct link, hf CLI and curl.
- Browser
- Download file 1.16 GB
-
https://huggingface.co/facebook/wmt19-ru-en/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://facebook/wmt19-ru-en/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/wmt19-ru-en/resolve/main/pytorch_model.bin
1.16 GB
- Xet hash:
- 2f82c9f72d6127dee4df5fef76ab5e24f4ec4d0dbd93614ce7aaf1a27f9f0c42
- Size of remote file:
- 1.16 GB
- SHA256:
- 16798a98813e3915b6b27d531e8c581e44683b17851da7a282c19403893d4e02
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