Translation
Transformers
PyTorch
Safetensors
English
German
fsmt
text2text-generation
wmt19
facebook
Instructions to use facebook/wmt19-en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wmt19-en-de 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-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/wmt19-en-de") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/wmt19-en-de", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
#5
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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- en
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- de
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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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@@ -45,7 +46,7 @@ input = "Machine learning is great, isn't it?"
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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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print(decoded) # Maschinelles Lernen ist
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```
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---
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+
language:
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- en
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- de
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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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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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print(decoded) # Maschinelles Lernen ist gro�artig, oder?
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```
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