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import gradio as gr
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Salesforce/xgen-7b-8k-base", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Salesforce/xgen-7b-8k-base", torch_dtype=torch.bfloat16)
def gentext(user_input="The world is"):
inputs = tokenizer(user_input, return_tensors="pt")
sample = model.generate(**inputs, max_length=128)
return {"output": tokenizer.decode(sample[0])}
gr.Interface(
gentext,
inputs="text",
outputs="text",
title="Testing out salesforce XGen 7B",
).launch() |