Spaces:
Running
Running
File size: 611 Bytes
df009c9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
import gradio as gr
model_id = "deepseek-ai/deepseek-coder-1.3b-base" # change to your choice
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
device_map="auto",
torch_dtype="auto"
)
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
def chat(prompt):
result = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.2)
return result[0]['generated_text']
iface = gr.Interface(fn=chat, inputs="text", outputs="text")
iface.launch()
|