Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,7 +1,6 @@
|
|
| 1 |
import os
|
| 2 |
import threading
|
| 3 |
import gradio as gr
|
| 4 |
-
import torch
|
| 5 |
from transformers import (
|
| 6 |
AutoModelForCausalLM,
|
| 7 |
AutoTokenizer,
|
|
@@ -14,7 +13,6 @@ hf_token = os.environ["HUGGINGFACEHUB_API_TOKEN"]
|
|
| 14 |
# Load tokenizer & model locally
|
| 15 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, token=hf_token)
|
| 16 |
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, token=hf_token)
|
| 17 |
-
model = torch.compile(model)
|
| 18 |
model.eval()
|
| 19 |
|
| 20 |
def respond(
|
|
|
|
| 1 |
import os
|
| 2 |
import threading
|
| 3 |
import gradio as gr
|
|
|
|
| 4 |
from transformers import (
|
| 5 |
AutoModelForCausalLM,
|
| 6 |
AutoTokenizer,
|
|
|
|
| 13 |
# Load tokenizer & model locally
|
| 14 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, token=hf_token)
|
| 15 |
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, token=hf_token)
|
|
|
|
| 16 |
model.eval()
|
| 17 |
|
| 18 |
def respond(
|