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pip install accelerate
from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch
import streamlit as st
model = "tiiuae/falcon-7b"
tokenizer = AutoTokenizer.from_pretrained(model)
text_input= st.text_area("Enter some text: ")
if text_input:
sequences = pipeline(
text_input,
max_length=200,
do_sample=True,
top_k=10,
num_return_sequences=1,
eos_token_id=tokenizer.eos_token_id,
)
for seq in sequences:
print(f"Result: {seq['generated_text']}")
pipeline = transformers.pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
torch_dtype=torch.bfloat16,
trust_remote_code=True,
device_map="auto",
)
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