Feature Extraction
Transformers
Safetensors
qwen3_5
image-text-to-text
multimodal-embedding
retrieval
evaluation
custom_code
Instructions to use woooooz/WeMM-Embedding-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use woooooz/WeMM-Embedding-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="woooooz/WeMM-Embedding-9B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("woooooz/WeMM-Embedding-9B", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("woooooz/WeMM-Embedding-9B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download evaluation/vendor/transformers/models/bit/image_processing_bit.py from woooooz/WeMM-Embedding-9B: direct link, hf CLI and curl.
- Browser
- Download file 1.26 kB
-
https://huggingface.co/woooooz/WeMM-Embedding-9B/resolve/main/evaluation/vendor/transformers/models/bit/image_processing_bit.py
- Command line
-
hf download hf://woooooz/WeMM-Embedding-9B/evaluation/vendor/transformers/models/bit/image_processing_bit.py
-
curl -L -o image_processing_bit.py https://huggingface.co/woooooz/WeMM-Embedding-9B/resolve/main/evaluation/vendor/transformers/models/bit/image_processing_bit.py
1.26 kB
| # Copyright 2022 The HuggingFace Inc. 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. | |
| """Image processor class for BiT.""" | |
| from ...image_processing_backends import TorchvisionBackend | |
| from ...image_utils import OPENAI_CLIP_MEAN, OPENAI_CLIP_STD, PILImageResampling | |
| from ...utils import auto_docstring | |
| class BitImageProcessor(TorchvisionBackend): | |
| resample = PILImageResampling.BICUBIC | |
| image_mean = OPENAI_CLIP_MEAN | |
| image_std = OPENAI_CLIP_STD | |
| size = {"shortest_edge": 224} | |
| default_to_square = False | |
| crop_size = {"height": 224, "width": 224} | |
| do_resize = True | |
| do_center_crop = True | |
| do_rescale = True | |
| do_normalize = True | |
| do_convert_rgb = True | |
| __all__ = ["BitImageProcessor"] | |