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") - Inference
- Notebooks
- Google Colab
- Kaggle
is this a bug?
#2
by thehonestbob - opened
tokenizer = FSMTTokenizer.from_pretrained(r'wmt')
s = tokenizer .encode("isn't it?")
s = tokenizer.decode(s)
print(s)
isn t it?
this bug cause by sacremoses.MosesTokenizer(lang=lang).tokenize(escape=True)