Spaces:
Running
Running
Commit
β’
6e966bc
1
Parent(s):
b4c04ac
Update utils.py
Browse files
utils.py
CHANGED
@@ -10,7 +10,6 @@ from torch.quantization import quantize_dynamic
|
|
10 |
from torch import nn, qint8
|
11 |
from transformers import MBartForConditionalGeneration, AutoConfig
|
12 |
|
13 |
-
import spaces
|
14 |
|
15 |
@st.cache_resource(show_spinner=False)
|
16 |
def get_resources(multilingual: bool, src_lang: str, quantize: bool = True, no_cuda: bool = False) -> Tuple[MBartForConditionalGeneration, AMRTokenizerWrapper]:
|
@@ -58,7 +57,6 @@ def get_resources(multilingual: bool, src_lang: str, quantize: bool = True, no_c
|
|
58 |
return model, tok_wrapper
|
59 |
|
60 |
|
61 |
-
@spaces.GPU
|
62 |
def translate(texts: List[str], src_lang: str, model: MBartForConditionalGeneration, tok_wrapper: AMRTokenizerWrapper, **gen_kwargs) -> Dict[str, List[Union[penman.Graph, ParsedStatus]]]:
|
63 |
"""Translates a given text of a given source language with a given model and tokenizer. The generation is guided by
|
64 |
potential keyword-arguments, which can include arguments such as max length, logits processors, etc.
|
|
|
10 |
from torch import nn, qint8
|
11 |
from transformers import MBartForConditionalGeneration, AutoConfig
|
12 |
|
|
|
13 |
|
14 |
@st.cache_resource(show_spinner=False)
|
15 |
def get_resources(multilingual: bool, src_lang: str, quantize: bool = True, no_cuda: bool = False) -> Tuple[MBartForConditionalGeneration, AMRTokenizerWrapper]:
|
|
|
57 |
return model, tok_wrapper
|
58 |
|
59 |
|
|
|
60 |
def translate(texts: List[str], src_lang: str, model: MBartForConditionalGeneration, tok_wrapper: AMRTokenizerWrapper, **gen_kwargs) -> Dict[str, List[Union[penman.Graph, ParsedStatus]]]:
|
61 |
"""Translates a given text of a given source language with a given model and tokenizer. The generation is guided by
|
62 |
potential keyword-arguments, which can include arguments such as max length, logits processors, etc.
|