for windows instal Transformers: Age of Extinction

Producing a shorter version of a document while preserving its important information.Īnswering a question about information from a given table. Retrieve the answer to a question from a given text. Masking some of the words in a sentence and predicting which words should replace those masks. Generating conversational text that is relevant, coherent and knowledgable given a prompt. You can refine your search by selecting the task you're interested in (e.g., text-classification). To find compatible models on the Hub, select the 'transformers.js' library tag in the filter menu (or visit this link). If you don't see your task/model listed here or it is not yet supported, feel free Here is the list of all tasks and architectures currently supported by Transformers.js. Python -m nvert -quantize -model_id bert-base-uncased You can customize this as follows: Settings

Sentiment analysis (in-browser inference)īy default, Transformers.js uses hosted pretrained models and precompiled WASM binaries, which should work out-of-the-box. Search for images with text (Next.js + Supabase) Real-time sketch-recognition game (see blog) Want to jump straight in? Get started with one of our sample applications/templates: Name Pipelines group together a pretrained model with preprocessing of inputs and postprocessing of outputs, making it the easiest way to run models with the library. It's super simple to translate from existing code! Just like the python library, we support the pipeline API. The best part about it, is that you can easily convert your pretrained PyTorch, TensorFlow, or JAX models to ONNX using 🤗 Optimum.įor more information, check out the full documentation. Transformers.js uses ONNX Runtime to run models in the browser.

🐙 Multimodal: zero-shot image classification.🗣️ Audio: automatic speech recognition and audio classification.🖼️ Computer Vision: image classification, object detection, and segmentation.📝 Natural Language Processing: text classification, named entity recognition, question answering, language modeling, summarization, translation, multiple choice, and text generation.These models support common tasks in different modalities, such as: Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run the same pretrained models using a very similar API. Run 🤗 Transformers directly in your browser, with no need for a server! State-of-the-art Machine Learning for the web.

For windows instal Transformers: Age of Extinction