✳flâneur — a map of the web's best reading
Padding and truncation · Hugging Face
huggingface.co · 872 words · saved by 1 readers
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Padding and truncation · Hugging Face Transformers documentation Padding and truncation Transformers 🏡 View all docs AWS Trainium & Inferentia Accelerate Argilla AutoTrain Bitsandbytes CLI Chat UI Dataset viewer Datasets Deploying on AWS Diffusers Distilabel Evaluate Google Cloud Google TPUs Gradio Hub Hub Python Library Huggingface.js Inference Endpoints (dedicated) Inference Providers Kernels LeRobot Leaderboards Lighteval Microsoft Azure OpenEnv Optimum PEFT Reachy Mini Safetensors Sentence Transformers TRL Tasks Text Embeddings Inference Text Generation Inference Tokenizers Trackio Transf
Explore this link on the map →related reading
- Transformer Explainer: LLM Transformer Model Visually Explainedpoloclub.github.io
- Llama 2 · Hugging Facehuggingface.co
- Models · Hugging Facehuggingface.co
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4. · GitHubgithub.com
- Efficiently Scaling Transformer Inferencearxiv.org
- GitHub - openai/parameter-golf: Train the smallest LM you can that fits in 16MB. Best model wins! · GitHubgithub.com
- Handling multiple sequences · Hugging Facehuggingface.co
- Efficient Memory Management for Large Language Model Serving with PagedAttentionarxiv.org
- Extending Context is Hard | kaiokendevkaiokendev.github.io
- TensorTonic | Learn ML through codetensortonic.com
- API Reference — TensorRT LLMnvidia.github.io
- The Annotated Transformernlp.seas.harvard.edu