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Explore the skillText Embeddings Inference
huggingface
A blazing fast inference solution for text embeddings models
OPENAGENTSKILL / DIRECTORY
Finde den passenden Skill für deine nächste Aufgabe mit Codex, Claude Code, Cursor und mehr.
36 Skills
Ergebnisse: 36
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Explore the skillhuggingface
A blazing fast inference solution for text embeddings models
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Explore the skillrudrankriyam
A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.
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Example apps for Foundation Models Framework in iOS 26 and macOS 26
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Explore the skillsuperlinked
Open-source inference server and production cluster for all the models your agent needs.
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Explore the skillaws-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
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Explore the skillARahim3
Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.
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Explore the skillmlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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MTEB: Massive Text Embedding Benchmark
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Explore the skillamazon-science
Chronos: Pretrained Models for Time Series Forecasting
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Explore the skillqdrant
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
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Explore the skillperemartra
Practical course about Large Language Models.
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Explore the skillhuggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
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Explore the skilllutzroeder
Visualizer for neural network, deep learning and machine learning models
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Explore the skillludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
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Explore the skillbentoml
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
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Explore the skillgorse-io
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding