Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -6,9 +6,6 @@ import gradio as gr
|
|
| 6 |
from threading import Thread
|
| 7 |
from transformers import TextIteratorStreamer, AutoTokenizer, AutoModelForCausalLM
|
| 8 |
|
| 9 |
-
import subprocess
|
| 10 |
-
subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True)
|
| 11 |
-
|
| 12 |
parser = argparse.ArgumentParser()
|
| 13 |
|
| 14 |
model_id = "vikhyatk/moondream2"
|
|
@@ -16,7 +13,7 @@ revision = "2024-04-02"
|
|
| 16 |
tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)
|
| 17 |
moondream = AutoModelForCausalLM.from_pretrained(
|
| 18 |
model_id, trust_remote_code=True, revision=revision,
|
| 19 |
-
|
| 20 |
)
|
| 21 |
moondream.eval()
|
| 22 |
|
|
|
|
| 6 |
from threading import Thread
|
| 7 |
from transformers import TextIteratorStreamer, AutoTokenizer, AutoModelForCausalLM
|
| 8 |
|
|
|
|
|
|
|
|
|
|
| 9 |
parser = argparse.ArgumentParser()
|
| 10 |
|
| 11 |
model_id = "vikhyatk/moondream2"
|
|
|
|
| 13 |
tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)
|
| 14 |
moondream = AutoModelForCausalLM.from_pretrained(
|
| 15 |
model_id, trust_remote_code=True, revision=revision,
|
| 16 |
+
torch_dtype=torch.float32
|
| 17 |
)
|
| 18 |
moondream.eval()
|
| 19 |
|