Support arbitrary processor (#30875)
* Support arbitrary processor * fix * nit * update * nit * nit * fix and revert * add a small test * better check * fixup * bug so let's just use class for now * oups * .
This commit is contained in:
parent
57edd84bdb
commit
0a9300f474
|
@ -41,8 +41,8 @@ class LlavaProcessor(ProcessorMixin):
|
||||||
"""
|
"""
|
||||||
|
|
||||||
attributes = ["image_processor", "tokenizer"]
|
attributes = ["image_processor", "tokenizer"]
|
||||||
image_processor_class = "CLIPImageProcessor"
|
image_processor_class = "AutoImageProcessor"
|
||||||
tokenizer_class = ("LlamaTokenizer", "LlamaTokenizerFast")
|
tokenizer_class = "AutoTokenizer"
|
||||||
|
|
||||||
def __init__(self, image_processor=None, tokenizer=None):
|
def __init__(self, image_processor=None, tokenizer=None):
|
||||||
super().__init__(image_processor, tokenizer)
|
super().__init__(image_processor, tokenizer)
|
||||||
|
|
|
@ -0,0 +1,30 @@
|
||||||
|
# Copyright 2021 The HuggingFace Team. All rights reserved.
|
||||||
|
#
|
||||||
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||||
|
# you may not use this file except in compliance with the License.
|
||||||
|
# You may obtain a copy of the License at
|
||||||
|
#
|
||||||
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||||||
|
#
|
||||||
|
# Unless required by applicable law or agreed to in writing, software
|
||||||
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||||
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||||
|
# See the License for the specific language governing permissions and
|
||||||
|
# limitations under the License.
|
||||||
|
import unittest
|
||||||
|
|
||||||
|
from transformers.testing_utils import require_vision
|
||||||
|
from transformers.utils import is_vision_available
|
||||||
|
|
||||||
|
|
||||||
|
if is_vision_available():
|
||||||
|
from transformers import AutoTokenizer, LlavaProcessor
|
||||||
|
|
||||||
|
|
||||||
|
@require_vision
|
||||||
|
class LlavaProcessorTest(unittest.TestCase):
|
||||||
|
def test_can_load_various_tokenizers(self):
|
||||||
|
for checkpoint in ["Intel/llava-gemma-2b", "llava-hf/llava-1.5-7b-hf"]:
|
||||||
|
processor = LlavaProcessor.from_pretrained(checkpoint)
|
||||||
|
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
|
||||||
|
self.assertEqual(processor.tokenizer.__class__, tokenizer.__class__)
|
Loading…
Reference in New Issue