#javascript #bert #chrome_extension #natural_language #question_answering #semantic_search #tensorflow #tensorflowjs #unpacked_extension

https://github.com/model-zoo/shift-ctrl-f

#python #bert #machine_learning #nlp #sentence_embeddings #topic_modeling #transformers

https://github.com/MaartenGr/BERTopic

#python #bert #knowledge_distillation #nlp_applications #transfer_learning

https://github.com/alibaba/EasyTransfer

#cuda #training #inference #transformer #bart #beam_search #sampling #bert #multilingual_nmt #gpt_2 #diverse_decoding

https://github.com/bytedance/lightseq

#python #ai #bert #dpr #elasticsearch #information_retrieval #language_model #machine_learning #natural_language_processing #neural_search #nlp #pytorch #question_answering #search_engine #semantic_search #squad #summarization #transfer_learning #transformers

https://github.com/deepset-ai/haystack

#python #bert #document_embedding #pre_trained_language_models #semantic_search #sentence_encoder #sentence_transformers #text_search #text_semantic_similarity #top2vec #topic_modeling #topic_modelling #topic_search #topic_vector #word_embeddings

https://github.com/ddangelov/Top2Vec

#python #bert #deep_learning #knowledge_pretrain #nlp #pretrained_models #pytorch #transformers

https://github.com/alibaba/EasyNLP

#python #bert #embedding #ernie #information_extraction #neural_search #nlp #paddlenlp #pretrained_models #question_answering #search_engine #semantic_analysis #sentiment_analysis #seq2seq #transformer #transformers #uie

https://github.com/PaddlePaddle/PaddleNLP

#python #bert #deep_learning #language_model #language_models #machine_learning #natural_language_processing #nlp #pytorch #transformer

https://github.com/extreme-bert/extreme-bert

#python #bert #chatgpt #chatgpt_api #chatgpt_python #chatgpt3 #gpt_2 #gpt_3 #gpt_3_prompts #gpt_neo #gpt3_library #large_language_models #openai #prompt_engineering #prompt_toolkit #prompt_tuning #prompting #prompts #transformers

https://github.com/promptslab/Promptify

#cplusplus #bert #gpt #pytorch #transformer

https://github.com/NVIDIA/FasterTransformer

#python #bert #deep_learning #flax #hacktoberfest #jax #language_model #language_models #machine_learning #model_hub #natural_language_processing #nlp #nlp_library #pretrained_models #python #pytorch #pytorch_transformers #seq2seq #speech_recognition #tensorflow #transformer

The Hugging Face Transformers library provides thousands of pretrained models for various tasks like text, image, and audio processing. These models can be used for tasks such as text classification, image detection, speech recognition, and more. The library supports popular deep learning frameworks like JAX, PyTorch, and TensorFlow, making it easy to switch between them.

The benefit to the user is that you can quickly download and use these pretrained models with just a few lines of code, saving time and computational resources. You can also fine-tune these models on your own datasets and share them with the community. Additionally, the library offers a simple `pipeline` API for immediate use on different inputs, making it user-friendly for both researchers and practitioners. This helps in reducing compute costs and carbon footprint while enabling high-performance results across various machine learning tasks.

https://github.com/huggingface/transformers