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The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
A text2sql T5 model, finetuned from Flan-t5-base. Code: Link A further finetuning will significantly increase the performance of Flan-t5 model on Text-to-SQL tasks.
Inference Example:
from transformers import T5Tokenizer, T5ForConditionalGeneration, pipeline
table_columns = "Transaction_ID, Platform, Product_ID, User_ID, Transaction_Amount, Region, Transaction_Time, Transaction_Unit, User_Comments"
table_name = "my_data"
PROMPT_INPUT = f"""
Given a SQL table named '{table_name}' with the following columns:
{table_columns}
Construct a SQL query to answer the following question:
Q: {{question}}.
"""
model_id = "kevinng77/chat-table-flan-t5"
tokenizer = T5Tokenizer.from_pretrained(model_id)
model = T5ForConditionalGeneration.from_pretrained(model_id)
input_text = PROMPT_INPUT.format_map({"question": "How many rows are there in the table?"})
pipe = pipeline(
"text2text-generation",
model=model, tokenizer=tokenizer, max_length=512
)
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