File size: 756 Bytes
2720910 8624101 c415262 2720910 c415262 2720910 c415262 2720910 c415262 2720910 c415262 2720910 c415262 2720910 c8701ba 2720910 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
import gradio as gr
from transformers import pipeline
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)
print()
# pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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() |