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Add hugs (#5225)

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Sylvain Gugger
2020-06-24 07:56:14 -04:00
committed by GitHub
parent 5e85b324ec
commit 7c41057d50
9 changed files with 39 additions and 40 deletions
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18
docs/source/task_summary.rst
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@@ -217,9 +217,9 @@ Here is an example of question answering using a model and a tokenizer. The proc
"""
questions = [
"How many pretrained models are available in Transformers?",
"What does Transformers provide?",
"Transformers provides interoperability between which frameworks?",
"How many pretrained models are available in 🤗 Transformers?",
"What does 🤗 Transformers provide?",
"🤗 Transformers provides interoperability between which frameworks?",
]
for question in questions:
@@ -253,9 +253,9 @@ Here is an example of question answering using a model and a tokenizer. The proc
"""
questions = [
"How many pretrained models are available in Transformers?",
"What does Transformers provide?",
"Transformers provides interoperability between which frameworks?",
"How many pretrained models are available in 🤗 Transformers?",
"What does 🤗 Transformers provide?",
"🤗 Transformers provides interoperability between which frameworks?",
]
for question in questions:
@@ -280,13 +280,13 @@ This outputs the questions followed by the predicted answers:
::
Question: How many pretrained models are available in Transformers?
Question: How many pretrained models are available in 🤗 Transformers?
Answer: over 32 +
Question: What does Transformers provide?
Question: What does 🤗 Transformers provide?
Answer: general - purpose architectures
Question: Transformers provides interoperability between which frameworks?
Question: 🤗 Transformers provides interoperability between which frameworks?
Answer: tensorflow 2 . 0 and pytorch