Spaces:
Sleeping
Sleeping
Update app.py
Browse fileschange bnb config
app.py
CHANGED
@@ -18,7 +18,7 @@ from transformers import (
|
|
18 |
)
|
19 |
from transformers.pipelines.audio_utils import ffmpeg_read
|
20 |
|
21 |
-
|
22 |
import spaces
|
23 |
|
24 |
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
|
@@ -28,12 +28,21 @@ BATCH_SIZE = 8
|
|
28 |
YT_LENGTH_LIMIT_S = 4800 # 1 hour 20 minutes
|
29 |
|
30 |
# Quantization
|
31 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
32 |
model = AutoModelForSpeechSeq2Seq.from_pretrained(
|
33 |
MODEL_NAME,
|
34 |
quantization_config=bnb_config,
|
|
|
35 |
device_map="auto"
|
36 |
)
|
|
|
37 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
38 |
feature_extractor = AutoFeatureExtractor.from_pretrained(MODEL_NAME)
|
39 |
|
|
|
18 |
)
|
19 |
from transformers.pipelines.audio_utils import ffmpeg_read
|
20 |
|
21 |
+
import torch # If you're using PyTorch
|
22 |
import spaces
|
23 |
|
24 |
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
|
|
|
28 |
YT_LENGTH_LIMIT_S = 4800 # 1 hour 20 minutes
|
29 |
|
30 |
# Quantization
|
31 |
+
|
32 |
+
bnb_config = BitsAndBytesConfig(
|
33 |
+
load_in_4bit=True,
|
34 |
+
bnb_4bit_use_double_quant=True,
|
35 |
+
bnb_4bit_quant_type="nf4",
|
36 |
+
bnb_4bit_compute_dtype=torch.bfloat16
|
37 |
+
)
|
38 |
+
|
39 |
model = AutoModelForSpeechSeq2Seq.from_pretrained(
|
40 |
MODEL_NAME,
|
41 |
quantization_config=bnb_config,
|
42 |
+
use_cache=False,
|
43 |
device_map="auto"
|
44 |
)
|
45 |
+
|
46 |
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
47 |
feature_extractor = AutoFeatureExtractor.from_pretrained(MODEL_NAME)
|
48 |
|