YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
This is fine-tuned model on Bhagvad Gita and creates text based on prompts. Example of usage:
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("epsil/bhagvad_gita")
model = AutoModelForCausalLM.from_pretrained("epsil/bhagvad_gita")
Input
from transformers import pipeline
pipeline = pipeline('text-generation',model=model, tokenizer=tokenizer)
result = samples('Krishna show me the right path')[0]['generated_text']
print(result)
Output
Krishna show me the right path, and I also to remember the lessons, and to remember them right.
Sama! in His Day, and by Thy own Eternal Grace.
A man like that who shall come to us
Created by Saurabh Mishra
Made with ♥ in India
- Downloads last month
- 17
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.