21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ ai azure transformers openai gpt language-model semantic-search dall-e prompt-engineering llms generative-ai generativeai chatgpt microsoft-for-beginners Updated Apr 28, 2025 Jupyter No...
它的宗旨让最先进的 NLP 技术人人易用。 🤗 Transformers 提供了便于快速下载和使用的API,让你可以把预训练模型用在给定文本、在你的数据集上微调然后通过model hub与社区共享。同时,每个定义的 Python 模块均完全独立,方便修改和快速研究实验。 🤗 Transformers 支持三个最热门的深度学习库:Jax,PyTorchandTensorFlo...
git clone https://github.com/huggingface/transformers.git cd transformers pip install .QuickstartGet started with Transformers right away with the Pipeline API. The Pipeline is a high-level inference class that supports text, audio, vision, and multimodal tasks. It handles preprocessing the input ...
github-actionsbotclosed this ascompletedJul 26, 2024 eldarkurticmentioned this issueAug 27, 2024 Set use_cache back to True for HF checkpointermosaicml/llm-foundry#1488 Closed Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment...
.github Update workflow files (huggingface#23658) May 23, 2023 docker Fix DeepSpeed stuff in the nightly CI (huggingface#23478) May 20, 2023 docs Update trainer.mdx class_weights example (huggingface#23787) May 26, 2023 examples Fix no such file or directory error (huggingface#23783) May ...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - GitHub - huggingface/transformers at v3.4.0
.github Make tiny model creation + pipeline testing more robust (huggingface#… Apr 6, 2023 docker (Re-)Enable Nightly + Past CI (huggingface#22393) Mar 31, 2023 docs Generate: add API warning to streamers (huggingface#22659) Apr 8, 2023 examples Sync preprocesses before loading the process...
124Branches27Tags Folders and files Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 960 Commits .github Fix transformer and error on example when CI uses single-GPU (#757) Nov 7, 2023 ...
A concise but fully-featured transformer, complete with a set of promising experimental features from various papers. Install $ pip install x-transformers Usage Full encoder / decoder import torch from x_transformers import XTransformer model = XTransformer( dim = 512, enc_num_tokens = 256, enc...
accelerate==0.32.1 bitsandbytes==0.43.1 faiss-cpu==1.7.4 tensorboard==2.14.0 课程规划 基础入门篇:Transformers入门,从环境安装到各个基础组件的介绍,包括Pipeline、Tokenizer、Model、Datasets、Evaluate、Trainer,并通过一个最基本的文本分类实例将各个模块进行串讲 ...