Here is how to quickly use a pipeline to classify positive versus negative texts: Pipelines group together a pretrained model with the preprocessing that was used during that model's training. To immediately use a model on a given input (text, image, audio. If you own or use a project that you believe should be part of the list, please open a PR to add it! If you are looking for custom support from the Hugging Face team Incredible projects built in the vicinity of transformers. In order to celebrate the 100,000 stars of transformers, we have decided to put the spotlight on theĬommunity, and we have created the awesome-transformers page which lists 100 We want Transformers to enable developers, researchers, students, professors, engineers, and anyone Transformers is more than a toolkit to use pretrained models: it's a community of projects built around it and the ![]() Zero-shot Video Classification with X-CLIP.Document Question Answering with LayoutLM.Zero-shot Image Classification with CLIP. ![]() Audio Classification with Audio Spectrogram Transformer.Automatic Speech Recognition with Wav2Vec2.Natural Language Inference with RoBERTa.We also offer private model hosting, versioning, & an inference API for public and private models. You can test most of our models directly on their pages from the model hub. It's straightforward to train your models with one before loading them for inference with the other. □ Transformers is backed by the three most popular deep learning libraries - Jax, PyTorch and TensorFlow - with a seamless integration between them. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments. □ Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering. □️ Audio, for tasks like speech recognition and audio classification.□️ Images, for tasks like image classification, object detection, and segmentation.□ Text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages.□ Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. Very smart behavior! Kudos to Apple this time.State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Plus I have some auto-login apps that are not ARM ready, and MA has copied all of them but they aren't auto-opened at the login, you have to confirm that you want to install and run Rosetta (to recompile them). Adobe suite has been migrated frictionless. it doesn't migrate the root folder and preferences files but only the ~/ (your user directory), so it was a paint to rewrite everything like Serial Numbers of the apps, preferences file etc.īut this time, Migration Assistant is improved! I've done the "clone" with it and it has worked very well, I still have to test some PGP keys and Homebrew apps but the apps like i.e. Because last time (15 years ago) I used Migration Assistan.
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