Dagobert42
commited on
Commit
•
125cf0c
1
Parent(s):
372cb74
checking pipeline output
Browse files
README.md
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@@ -1,6 +1,6 @@
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---
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title: Semantic Frame Augmentation
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-
emoji:
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colorFrom: gray
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colorTo: yellow
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sdk: streamlit
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---
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title: Semantic Frame Augmentation
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emoji: 🔬
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colorFrom: gray
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colorTo: yellow
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sdk: streamlit
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app.py
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@@ -5,6 +5,7 @@ from random import choice
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with open("sentences.pt", 'rb') as f:
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sentences = torch.load(f)
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baseline_classifier = pipeline(
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model="Dagobert42/mobilebert-uncased-biored-finetuned-ner",
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st.title("Semantic Frame Augmentation")
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st.caption("Analysing difficult low-resource domains with only a handful of examples")
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st.write("This space uses a googel/mobilebert-uncased model for
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augment = st.toggle('Use augmented model for ', value=False)
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sentence = choice(sentences)
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if augment:
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st.write("with augmentation:")
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@@ -39,6 +38,4 @@ txt = st.text_area(
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)
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st.subheader("Entity analysis:")
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st.write(token['entity_group'])
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st.write(sentence[token["start"] : token["end"]])
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with open("sentences.pt", 'rb') as f:
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sentences = torch.load(f)
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sentence = choice(sentences)
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baseline_classifier = pipeline(
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model="Dagobert42/mobilebert-uncased-biored-finetuned-ner",
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st.title("Semantic Frame Augmentation")
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st.caption("Analysing difficult low-resource domains with only a handful of examples")
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st.write("This space uses a googel/mobilebert-uncased model for NER")
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augment = st.toggle('Use augmented model for NER', value=False)
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if augment:
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st.write("with augmentation:")
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)
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st.subheader("Entity analysis:")
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st.write(tokens)
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