git clone https://github.com/huggingface/tokenizers PyPi (📥 34M / month · 📦 1.1K · ⏱️ 27.11.2024): pip install tokenizers Conda (📥 2.3M · ⏱️ 27.11.2024): conda install -c conda-forge tokenizers flair (🥇38 · ⭐ 14K) - A very simple framework for st...
LiteLLM: Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, Groq etc.] GuideLLM: GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs). LLM-Engines: A unified inference engine for large la...
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Classification 🔗 Regression 🔗 Generative Text Models 🔗 Open LLMs ArticleResources Open Source LLM Space for Commercial Use 🔗 Open Source LLM Space for Research Use 🔗 LLM Training Frameworks 🔗 Effective Deployment Strategies for Language Models 🔗 Tutorials about LLM...
Month after month it’s among the most downloaded GPT-3 style models on @huggingface, and no billion+ param model has ever come close (“gpt2” is the 125M version, not the 1.3B version). pic.twitter.com/EZyrBApLka — EleutherAI (@AiEleuther) March 26, 2023 It has 6 billion ...
This handy NLP libraryprovides developers with awide range of algorithms for building machine-learning models.It offers many functions for thebag-of-words method of creating features to tackle text classification problems.The strength of this library is theintuitive class methods. ...
- Unlike the previous methods, reward models label the quality of conversations between a user and an assistant instead of labelling the quality of a document. In addition, models (like) may output multiple scores covering different categories. Like LLM labelling, NeMo Curator can connect to arbit...
Huggingface Transformer Library: One of the models included in the Huggingface Transformer Library, a popular open-source library for natural language processing. Microsoft Azure Cognitive Services: Also used in Microsoft's Azure Cognitive Services, which provides a suite of AI-powered tools for develop...
We use pre-trained language models based on the BERT16 architecture that are then fine-tuned for detecting (1) personal names, (2) organizations, (3) locations, and (4) ages. We employed the BERT-base-cased model (https://huggingface.co/bert-base-cased) through the HuggingFace/...
Huggingface NLP笔记2:一文看清Transformer大家族的三股势力 ai2news.com/blog/15375/ 2021-09-23 150行实现基于transformer的英中翻译器 ai2news.com/blog/44820/ 2021-06-09 Transformer详解encoder ai2news.com/blog/17155/ 2021-01-10 打破Transformer 宿命,新秀 VOLO 开源!横扫 CV 多项记录,首个超越 87% ...