Visual Document Retrieval
Transformers
Safetensors
multilingual
qwen3_5
feature-extraction
text
image
multimodal-embedding
vidore
colbert
colqwen3_5
multilingual-embedding
custom_code
Instructions to use webAI-Official/webAI-ColVec1.1-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webAI-Official/webAI-ColVec1.1-4b with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("webAI-Official/webAI-ColVec1.1-4b", trust_remote_code=True) model = AutoModel.from_pretrained("webAI-Official/webAI-ColVec1.1-4b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 4,269 Bytes
5b4004b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 | # Python 3.12 package environment captured from the ColVec1.1 SDPA evaluation. # Platform: Linux x86-64, PyTorch 2.9.0, CUDA 12.8. # Install PyTorch from the CUDA 12.8 index before installing this file. # This is the complete evaluation environment, not the minimal inference setup. absl-py==2.5.0 accelerate==1.14.0 aiohappyeyeballs==2.7.1 aiohttp==3.14.3 aiohttp-cors==0.8.1 aiosignal==1.4.0 annotated-doc==0.0.4 annotated-types==0.8.0 antlr4-python3-runtime==4.9.3 anyio==4.14.2 apache-tvm-ffi==0.1.9 attrs==26.1.0 bitsandbytes==0.50.0 boto3==1.43.56 botocore==1.43.56 braceexpand==0.1.7 causal-conv1d @ https://github.com/Dao-AILab/causal-conv1d/releases/download/v1.6.2.post1/causal_conv1d-1.6.2.post1+cu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl certifi==2026.7.22 cffi==2.1.0 charset-normalizer==3.4.9 click==8.4.2 cloudpickle==3.1.2 colorful==0.5.8 colpali-engine @ git+https://github.com/illuin-tech/colpali@2e0b927051af727238783af039dcc2c50a4d8c27 contourpy==1.3.3 cryptography==49.0.0 cycler==0.12.1 datasets==5.0.0 dill==0.4.1 distlib==0.4.3 docstring-parser==0.18.0 einops==0.8.2 filelock==3.29.0 fla-core==0.5.1 flash-attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl flash-linear-attention==0.5.1 fonttools==4.63.0 frozenlist==1.8.0 fsspec==2026.4.0 gapstatistics==0.1.5 google-api-core==2.33.0 google-auth==2.56.2 googleapis-common-protos==1.75.0 grpcio==1.83.0 h11==0.16.0 h2==4.4.0 hf-xet==1.5.2 hpack==4.2.0 httpcore==1.0.9 httpx==0.28.1 huggingface-hub==1.24.0 hydra-core==1.3.4 hyperframe==6.1.0 idna==3.18 importlib-resources==7.1.0 iniconfig==2.3.0 jinja2==3.1.6 jmespath==1.1.0 joblib==1.5.3 jsonargparse==4.50.0 jsonnet==0.22.0 jsonschema==4.26.0 jsonschema-specifications==2025.9.1 kiwisolver==1.5.0 lightning==2.6.5 lightning-utilities==0.15.3 markdown==3.10.2 markdown-it-py==4.2.0 markupsafe==3.0.3 matplotlib==3.11.1 mdurl==0.1.2 ml-dtypes==0.5.4 mpmath==1.3.0 msgpack==1.2.1 mteb[xet] @ git+https://github.com/embeddings-benchmark/mteb.git@d56a414b45ebad0d03495de000b4880d8b028d4a multidict==6.7.1 multiprocess==0.70.19 narwhals==2.24.0 networkx==3.6.1 numpy==2.4.4 nvidia-cublas-cu12==12.8.4.1 nvidia-cuda-cupti-cu12==12.8.90 nvidia-cuda-nvrtc-cu12==12.8.93 nvidia-cuda-runtime-cu12==12.8.90 nvidia-cudnn-cu12==9.10.2.21 nvidia-cufft-cu12==11.3.3.83 nvidia-cufile-cu12==1.13.1.3 nvidia-curand-cu12==10.3.9.90 nvidia-cusolver-cu12==11.7.3.90 nvidia-cusparse-cu12==12.5.8.93 nvidia-cusparselt-cu12==0.7.1 nvidia-nccl-cu12==2.27.5 nvidia-nvjitlink-cu12==12.8.93 nvidia-nvshmem-cu12==3.3.20 nvidia-nvtx-cu12==12.8.90 omegaconf==2.3.1 opencensus==0.11.4 opencensus-context==0.1.3 opentelemetry-api==1.44.0 opentelemetry-exporter-prometheus==0.65b0 opentelemetry-proto==1.44.0 opentelemetry-sdk==1.44.0 opentelemetry-semantic-conventions==0.65b0 packaging==26.2 pandas==3.0.5 peft==0.19.1 pillow==12.2.0 platformdirs==4.11.0 pluggy==1.6.0 polars==1.43.0 polars-runtime-32==1.43.0 portalocker==3.2.0 prometheus-client==0.26.0 propcache==0.5.2 proto-plus==1.28.2 protobuf==7.35.1 psutil==7.2.2 py-spy==0.4.2 pyarrow==25.0.0 pyasn1==0.6.4 pyasn1-modules==0.4.2 pycparser==3.0 pydantic==2.13.4 pydantic-core==2.46.4 pygments==2.20.0 pymupdf==1.28.0 pyparsing==3.3.2 pytest==9.1.1 python-dateutil==2.9.0.post0 python-discovery==1.5.0 python-dotenv==1.2.2 pytorch-lightning==2.6.5 pytrec-eval-terrier==0.5.10 pyyaml==6.0.3 qdrant-client==1.18.0 ray==2.56.1 referencing==0.37.0 regex==2026.7.19 requests==2.34.2 rich==14.3.4 rpds-py==2026.6.3 s3transfer==0.19.2 safetensors==0.8.0 scikit-learn==1.9.0 scipy==1.18.0 sentence-transformers==5.6.0 sentry-sdk==2.66.1 setuptools==78.1.0 shellingham==1.5.4 six==1.17.0 smart-open==8.0.1 sympy==1.14.0 tensorboard==2.21.0 tensorboard-data-server==0.7.2 tensorboardx==2.6.5 threadpoolctl==3.6.0 tilelang==0.1.9 tokenizers==0.22.2 torch==2.9.0+cu128 torch-c-dlpack-ext==0.1.5 torchmetrics==1.9.0 torchvision==0.24.0+cu128 tqdm==4.69.1 transformers==5.14.1 triton==3.5.0 typer==0.27.0 typeshed-client==2.12.0 typing-extensions==4.15.0 typing-inspection==0.4.2 urllib3==2.7.0 virtualenv==21.7.0 wandb==0.28.1 webdataset==1.0.2 werkzeug==3.1.8 wrapt==2.2.2 xxhash==3.8.1 yarl==1.24.5 z3-solver==4.15.4.0 |