Training and Finetuning Embedding Models with Sentence Transformers v3
Additionally, you can use SequentialEvaluator to combine multiple evaluators into one, which can then be passed to the SentenceTransformerTrainer. If you don't have the necessary evaluation data but still want to track the model's performance on common benchmarks, you can use these evaluators with data from Hugging Face: EmbeddingSimilarityEvaluator with STSb The STS Benchmark (a.k.a. STSb) is a c
Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval
Improving scalability There are several ways to approach the challenges of scaling embeddings. The most common approach is dimensionality reduction, such as PCA. However, classic dimensionality reduction -- like PCA methods -- tends to perform poorly when used with embeddings. In recent news, Matryoshka Representation Learning (blogpost) (MRL) as used by OpenAI also allows for cheaper embeddings.
Whisper Web - a Hugging Face Space by Xenova
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Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRA
LLMs are known to be large, and running or training them in consumer hardware is a huge challenge for users and accessibility. Our LLM.int8 blogpost showed how the techniques in the LLM.int8 paper were integrated in transformers using the bitsandbytes library. As we strive to make models even more accessible to anyone, we decided to collaborate with bitsandbytes again to allow users to run models
cyberagent/open-calm-7b · Hugging Face
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succinctly/text2image-prompt-generator · Hugging Face
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How to train a new language model from scratch using Transformers and Tokenizers
How to train a new language model from scratch using Transformers and Tokenizers Over the past few months, we made several improvements to our transformers and tokenizers libraries, with the goal of making it easier than ever to train a new language model from scratch. In this post we’ll demo how to train a “small” model (84 M parameters = 6 layers, 768 hidden size, 12 attention heads) – that’s th
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training-transformers-together/dalle-demo-v1 · Hugging Face
Streamlit
ALINEAR/albert-japanese · Hugging Face