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
Add multilingual to the language tag
#2
by lbourdois - opened
README.md
CHANGED
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@@ -1,12 +1,13 @@
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---
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language:
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- de
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- en
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tags:
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- translation
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- wmt19
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- facebook
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license: apache-2.0
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datasets:
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- wmt19
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metrics:
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@@ -41,7 +42,7 @@ mname = "facebook/wmt19-de-en"
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tokenizer = FSMTTokenizer.from_pretrained(mname)
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model = FSMTForConditionalGeneration.from_pretrained(mname)
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input = "Maschinelles Lernen ist
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input_ids = tokenizer.encode(input, return_tensors="pt")
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outputs = model.generate(input_ids)
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decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
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---
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language:
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- de
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- en
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- multilingual
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license: apache-2.0
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tags:
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- translation
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- wmt19
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- facebook
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datasets:
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- wmt19
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metrics:
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tokenizer = FSMTTokenizer.from_pretrained(mname)
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model = FSMTForConditionalGeneration.from_pretrained(mname)
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input = "Maschinelles Lernen ist gro�artig, oder?"
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input_ids = tokenizer.encode(input, return_tensors="pt")
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outputs = model.generate(input_ids)
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decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
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