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
| 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. | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in | |
| all copies or substantial portions of the Software. | |
| THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN | |
| THE SOFTWARE. | |