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Agent skills

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Agent skill

HuggingFace Tokenizers - Fast Tokenization for NLP

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-p...

ClaudeCodexOpenClawData & Analytics
aniruddhaadak800
Agent skill

BLIP-2: Vision-Language Pre-training

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

OpenClawData & Analytics
davila733,110
Agent skill

HuggingFace Tokenizers - Fast Tokenization for NLP

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-p...

ClaudeCodexOpenClawData & Analytics
davila733,110
Agent skill

BLIP-2: Vision-Language Pre-training

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

OpenClawData & Analytics
Dicklesworthstone1,960
Agent skill

HuggingFace Tokenizers - Fast Tokenization for NLP

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-p...

ClaudeCodexOpenClawData & Analytics
Dicklesworthstone1,960
Agent skill

HuggingFace Tokenizers - Fast Tokenization for NLP

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-p...

CodexOpenClawCursorData & Analytics
NousResearch260,297

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