X-CLIP (base, patch 32) weights — acaua mirror
================================================

This product includes model weights developed by:

 - Microsoft Research
   Ni et al., "Expanding Language-Image Pretrained Models for General Video Recognition",
   ECCV 2022, arXiv:2208.02816
   https://github.com/microsoft/VideoX — MIT

 - OpenAI CLIP (the vision/text encoders that X-CLIP extends)
   Radford et al., "Learning Transferable Visual Models From Natural Language Supervision",
   ICML 2021, arXiv:2103.00020
   https://github.com/openai/CLIP — MIT

Attribution chain
-----------------
Mirrored on 2026-04-23 by CondadosAI from:

    repo:   microsoft/xclip-base-patch32
    commit: a2e27a78a2b5d802e894b8a1ef14f3a8ce490963
    date:   2024-02-04

Deviations from upstream
------------------------
The legacy `pytorch_model.bin` file (pickle format) was deliberately omitted
from this mirror for security hygiene. Pickle loads can execute arbitrary
code; `transformers` auto-prefers `model.safetensors` when both are present,
so the omission has zero functional impact. The `model.safetensors` file in
this mirror is byte-identical to upstream.

License
-------
Licensed under the MIT License. The upstream model card at
https://huggingface.co/microsoft/xclip-base-patch32 declares the weights as
MIT. Redistribution under the same terms.

MIT License

Copyright (c) Microsoft Corporation.
Copyright (c) OpenAI.

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