datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
text_encoders
Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability of models to generalize to arbitrary image classification tasks in a zero-shot manner. It was not developed for general model deployment - to deploy models like… See the full description on the dataset page: https://huggingface.co/datasets/flickify/text_encoders.TextEncodersText Encoders
This space is meant as a backup for repo's that suddenly delete open sourced files.
The following terms are assumed to be under the opensource / Apache 2.0 license, for wherever the files were found from.
If you are a copyright holder and have an issue then please send a message.
The following is an EXAMPLE of such a license (which may or may not be applicable, but it's assumed to be):
License Agreement
The models in this repository are licensed under the Apache 2.0 License. We… See the full description on the dataset page: https://huggingface.co/datasets/JonXL/TextEncoders.text-transformer-5m-cross-encoder-progresstext_encodertext_encoder_2
Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability of models to generalize to arbitrary image classification tasks in a zero-shot manner. It was not developed for general model deployment - to deploy models like… See the full description on the dataset page: https://huggingface.co/datasets/flickify/text_encoder_2.comfyui-text-encoderstraining_setting_burnt_unet_and_text_encodertext_encoder_2
