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A few people asked us to talk more about our model sharing feature, so here goes:pic.twitter.com/OXPJvU5dy0
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Sweet presentation of Pipeline, our latest transformers feature by
@MorganFunto at the NYC AI and ML meetup!pic.twitter.com/YKo88I4Y48
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As you may know, we just raised our series A. It wouldn't have been possible without the help and contribution of the fantastic
#NLProc community that we serve. So join us next week to celebrate in NYC around craft beers & classic video games!

https://www.eventbrite.com/e/hugging-face-nlp-community-party-registration-86625931493 …pic.twitter.com/8RCnuJ3kyd
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Now that neural nets have fast implementations, a bottleneck in pipelines is tokenization: strings
model inputs.
Welcome
Tokenizers: ultra-fast & versatile tokenization led by @moi_anthony: -encode 1GB in 20sec -BPE/byte-level-BPE/WordPiece/SentencePiece... -python/js/rust...pic.twitter.com/1TfJ1Hm1xx
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Is
@SanhEstPasMoi the swag collector mvp? He sure didn’t come back empty-handed from#NeurIPS2019! What did you get?pic.twitter.com/QWKaPwBVQW
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We spend our time finetuning models on tasks like text classif, NER or question answering. Yet
Transformers had no simple way to let users try these fine-tuned models.
Release 2.3.0 brings Pipelines: thin wrappers around tokenizer + model to ingest/output human-readable data.pic.twitter.com/ZcPTXOJsuS
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On-Device Machine Learning: Text Generation on @Android

Combine the power of GPT-2, @TensorFlow and@kotlin to bring state-of-the-art NLP on mobile! https://towardsdatascience.com/on-device-machine-learning-text-generation-on-android-6ad940c00911 … by@pierrci via@TDataSciencepic.twitter.com/DJ8xDxxfPx -
New in v2.2.2: you can now upload and share your models with the community directly from the library, using our CLI
1. Join here: https://huggingface.co/join
2. Use the CLI to upload: https://github.com/huggingface/transformers#Quick-tour-of-model-sharing …
3. Model is accessible to anyone using the `username/model_name` id
pic.twitter.com/ZdVDeOMmQt
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1. Prime GPT-2 with a list of
#NeurIPS2019 poster titles. 2. Use it to complete Sesame Street episode titles. Results: https://transformer.huggingface.co/share/nyEunbKcVd …pic.twitter.com/QhobwsXil5
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We're looking forward to these new Bond movie titles, written with GPT-2 at https://transformer.huggingface.co/doc/gpt2-large pic.twitter.com/sjehxJ0Ib0
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おはようござえます、日本の友達 Hello, Friends from Japan
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Thanks to @NlpTohoku, we now have a state-of-the-art Japanese language model in Transformers, `bert-base-japanese`. Can you guess what the model outputs in the masked LM task below?pic.twitter.com/XIBUu7wrex
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So, we read ALBERT.
@remilouf took some notes for you
Paper: https://arxiv.org/abs/1909.11942
Also in
transformers: https://github.com/huggingface/transformers …pic.twitter.com/LLaNema3mc
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