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
| ``` | |
| 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) | |
| ``` |