Spaces:
Runtime error
Runtime error
Commit
·
d389f3b
1
Parent(s):
5ff2e93
Update app.py
Browse files
app.py
CHANGED
|
@@ -12,7 +12,7 @@ MODEL.encoder_decoder = transformers.VisionEncoderDecoderModel.from_pretrained(c
|
|
| 12 |
MODEL.tokenizer = MODEL.donut_processor.tokenizer
|
| 13 |
|
| 14 |
|
| 15 |
-
def generate_token_strings(images, skip_special_tokens=True)
|
| 16 |
decoder_output = MODEL.encoder_decoder.generate(
|
| 17 |
images,
|
| 18 |
max_length=MODEL.encoder_decoder.config.decoder.max_length,
|
|
@@ -23,7 +23,7 @@ def generate_token_strings(images, skip_special_tokens=True) -> list[str]:
|
|
| 23 |
decoder_output.sequences, skip_special_tokens=skip_special_tokens
|
| 24 |
)
|
| 25 |
|
| 26 |
-
def predict_string(image)
|
| 27 |
image = MODEL.donut_processor(
|
| 28 |
image, random_padding=False, return_tensors="pt"
|
| 29 |
).pixel_values
|
|
|
|
| 12 |
MODEL.tokenizer = MODEL.donut_processor.tokenizer
|
| 13 |
|
| 14 |
|
| 15 |
+
def generate_token_strings(images, skip_special_tokens=True):
|
| 16 |
decoder_output = MODEL.encoder_decoder.generate(
|
| 17 |
images,
|
| 18 |
max_length=MODEL.encoder_decoder.config.decoder.max_length,
|
|
|
|
| 23 |
decoder_output.sequences, skip_special_tokens=skip_special_tokens
|
| 24 |
)
|
| 25 |
|
| 26 |
+
def predict_string(image):
|
| 27 |
image = MODEL.donut_processor(
|
| 28 |
image, random_padding=False, return_tensors="pt"
|
| 29 |
).pixel_values
|