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NEW: Introducing ViTForImageClassification annotator in Spark NLP 🚀. ViTForImageClassification can load Vision Transformer ViT Models with an image classification head on top (a linear layer on top of the final hidden state of the [CLS] token) e.g. for ImageNet. This annotator is compatible with all the models trained/fine-tuned by using ViTForImageClassification for PyTorch or TFViTForImageClassification for TensorFlow models in HuggingFace 🤗 (https://github.com/JohnSnowLabs/spark-nlp/pull/11536)
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- Spark-NLP 4.4.0: New BART for Text Translation & Summarization, new ConvNeXT Transformer for Image Classification, new Zero-Shot Text Classification by BERT, more than 4000+ state-of-the-art models, and many more! · JohnSnowLabs/spark-nlp
- Spark-NLP 4.4.0: New BART for Text Translation & Summarization, new ConvNeXT Transformer for Image Classification, new Zero-Shot Text Classification by BERT, more than 4000+ state-of-the-art models, and many more! · JohnSnowLabs/spark-nlp