Update tokenizer
Browse files
README.md
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@@ -41,7 +41,7 @@ Summarisation and emotion detection has not been evaluated yet.
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```python
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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model = T5ForConditionalGeneration.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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tokenizer = T5Tokenizer.from_pretrained("t5-base")
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def get_answer(question, prev_qa, context):
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input_text = [f"q: {qa[0]} a: {qa[1]}" for qa in prev_qa]
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@@ -81,7 +81,7 @@ model.qa("Why not?", context, prev_qa=prev_qa)
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```python
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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model = T5ForConditionalGeneration.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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tokenizer = T5Tokenizer.from_pretrained("t5-base")
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def summary(context):
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input_text = f"summarize: {context}"
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@@ -109,7 +109,7 @@ model.summarise("Long text to summarise")
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```python
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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model = T5ForConditionalGeneration.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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tokenizer = T5Tokenizer.from_pretrained("t5-base")
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def emotion(context):
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input_text = f"emotion: {context}"
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```python
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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model = T5ForConditionalGeneration.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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tokenizer = T5Tokenizer.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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def get_answer(question, prev_qa, context):
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input_text = [f"q: {qa[0]} a: {qa[1]}" for qa in prev_qa]
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```python
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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model = T5ForConditionalGeneration.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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tokenizer = T5Tokenizer.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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def summary(context):
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input_text = f"summarize: {context}"
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```python
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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model = T5ForConditionalGeneration.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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tokenizer = T5Tokenizer.from_pretrained("kiri-ai/t5-base-qa-summary-emotion")
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def emotion(context):
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input_text = f"emotion: {context}"
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