Instructions to use ashishkat/questionAnswer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashishkat/questionAnswer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ashishkat/questionAnswer") model = AutoModelForSeq2SeqLM.from_pretrained("ashishkat/questionAnswer") - Notebooks
- Google Colab
- Kaggle
Quick Links
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Check out the documentation for more information.
from transformers import (
T5ForConditionalGeneration,
T5Tokenizer
)
import pandas as pd
import numpy as np
tokenizer = T5Tokenizer.from_pretrained("ashishkat/questionAnswer")
model = T5ForConditionalGeneration.from_pretrained("ashishkat/questionAnswer", return_dict=True)
def generate_answer(question, context):
"""Function gives the answer to the question asked, given context
question(str) : question asked by user
context(str): Paragraph given by used
Returns:
string: Answer to respective question asked
"""
## tokenizeing question + context at a same time
## max length is 512, greater are removed, less are padded
source_encoding = tokenizer(
question,
context,
max_length = 512,
padding="max_length",
truncation="only_second",
return_attention_mask = True,
return_tensors="pt",
add_special_tokens=True
)
## generating answer from model
generate_ids = model.generate(
input_ids = source_encoding["input_ids"],
attention_mask = source_encoding["attention_mask"],
max_length = 30,
use_cache=True,
)
## decoding the tokenized prediction
pred = [
tokenizer.decode(ids, skip_special_tokens=True) for ids in generate_ids
]
return " ".join(pred) ## returns the predicted string as answer
context = "The Normans (Norman: Nourmands; French: Normands; Latin: Normanni) were the people who \
in the 10th and 11th centuries gave their name to Normandy, a region in France. They were\
descended from Norse (\"Norman\" comes from \"Norseman\") raiders and pirates from Denmark,\
Iceland and Norway who, under their leader Rollo, agreed to swear fealty to King Charles III\
of West Francia. Through generations of assimilation and mixing with the native Frankish and\
Roman-Gaulish populations, their descendants would gradually merge with the Carolingian-based\
cultures of West Francia. The distinct cultural and ethnic identity of the Normans emerged initially\
in the first half of the 10th century, and it continued to evolve over the succeeding centuries."
question = "From which countries did the Norse originate?"
# question = "Who was the Norse leader?" "rollo"
# actual_answer = "Denmark, Iceland and Norway"
answer = generate_answer(context, question)
print(answer)
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ashishkat/questionAnswer") model = AutoModelForSeq2SeqLM.from_pretrained("ashishkat/questionAnswer")