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Asankhla01/prakriti-ai-model
prakriti-ai-model is a question answering model from Asankhla01. Use it when the input is a question plus a passage. The card lists the license as apache-2.0.
Prakriti-AI is a custom-trained language model based on flan-t5-small, fine-tuned on over 10,000 Hindi question-answer pairs. It is designed to understand and respond to Hindi queries in a natural, human-like way.
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.safetensors308 MB · 99%
From the Hugging Face model README
Prakriti-AI is a custom-trained language model based on flan-t5-small, fine-tuned on over 10,000 Hindi question-answer pairs.
It is designed to understand and respond to Hindi queries in a natural, human-like way.
google/flan-t5-smallfrom transformers import AutoTokenizer, AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("Asankhla01/prakriti-ai-model")
tokenizer = AutoTokenizer.from_pretrained("Asankhla01/prakriti-ai-model")
def ask_prakriti(question):
input_text = "Q: " + question
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
return answer
ask_prakriti("AI kya hota hai?")
---
library_name: transformers
tags: []
---