Instructions to use CondadosAI/xclip_base_patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CondadosAI/xclip_base_patch32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="CondadosAI/xclip_base_patch32")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("CondadosAI/xclip_base_patch32") model = AutoModel.from_pretrained("CondadosAI/xclip_base_patch32") - Notebooks
- Google Colab
- Kaggle
docs: add NOTICE attribution (Microsoft + OpenAI)
Browse files
NOTICE
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X-CLIP (base, patch 32) weights — acaua mirror
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================================================
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This product includes model weights developed by:
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- Microsoft Research
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Ni et al., "Expanding Language-Image Pretrained Models for General Video Recognition",
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ECCV 2022, arXiv:2208.02816
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https://github.com/microsoft/VideoX — MIT
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- OpenAI CLIP (the vision/text encoders that X-CLIP extends)
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Radford et al., "Learning Transferable Visual Models From Natural Language Supervision",
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ICML 2021, arXiv:2103.00020
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https://github.com/openai/CLIP — MIT
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Attribution chain
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-----------------
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Mirrored on 2026-04-23 by CondadosAI from:
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repo: microsoft/xclip-base-patch32
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commit: a2e27a78a2b5d802e894b8a1ef14f3a8ce490963
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date: 2024-02-04
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Deviations from upstream
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------------------------
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The legacy `pytorch_model.bin` file (pickle format) was deliberately omitted
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from this mirror for security hygiene. Pickle loads can execute arbitrary
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code; `transformers` auto-prefers `model.safetensors` when both are present,
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so the omission has zero functional impact. The `model.safetensors` file in
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this mirror is byte-identical to upstream.
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License
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-------
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Licensed under the MIT License. The upstream model card at
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https://huggingface.co/microsoft/xclip-base-patch32 declares the weights as
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MIT. Redistribution under the same terms.
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MIT License
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Copyright (c) Microsoft Corporation.
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Copyright (c) OpenAI.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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