Results for “charset”
22 skillsMore results
Sentencepiece
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
1 · bundle
Ascii Art
ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.
0
Nanogpt
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).
0 · bundle
Ascii Art
ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.
1
Ascii Art
Renders text and images as ASCII art using local CLI tools and free REST APIs, with no API keys required.
2
Sentencepiece
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
0 · bundle
Imagenet A Large Scale Hierarchical Image Database Crossref
ImageNet: A Large-Scale Hierarchical Image Database
6
Transcribe
Transcribe audio files to text with optional speaker diarization and known-speaker hints using OpenAI models.
23.3k · bundle
AI
Configure Gemini and Codex CLI tools with Cloudflare AI Gateway endpoints and MCP servers.
567 · bundle
UX Copy
Generate UX microcopy in StyleSeed's Toss-inspired voice for buttons, empty states, errors, toasts, confirmations, and form guidance.
7
Humanize Chinese
Detect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC sc
1k · bundle
UX Copy
Generate UX microcopy in StyleSeed's Toss-inspired voice for buttons, empty states, errors, toasts, confirmations, and form guidance.
1
Ascii Art
Renders text or images as ASCII art for terminal-friendly output, including banners, frames, QR codes, and weather.
2
Kakashi Skill
旗木卡卡西(少年漫)认知与表达框架(压缩蒸馏):迟到的老师、写轮眼悬念、慵懒靠谱 触发:火影忍者 等。虚构;非暴力教唆
9 · bundle
Article Magazine
Creates long-form magazine-style articles with hero sections, serif headings, styled quotes, code blocks, and call-to-action cards, suitable for Substack, Medium, or blogs.
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Coco Microsoft Coco Common Objects In Context Arxiv 1405 031
COCO: Microsoft COCO: Common Objects in Context
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UX Copy
Generate UX microcopy in StyleSeed's Toss-inspired voice for buttons, empty states, errors, toasts, confirmations, and form guidance.
2
UX Copy
Generate UX microcopy in StyleSeed's Toss-inspired voice for buttons, empty states, errors, toasts, confirmations, and form guidance.
1
Csharp
Use the official Anthropic C# SDK to send messages, stream responses, and define tools with JSON schema.
0 · bundle
UX Copy
Generate UX microcopy in StyleSeed's Toss-inspired voice for buttons, empty states, errors, toasts, confirmations, and form guidance.
1
Mariadb Client
Covers MariaDB-specific behavior of the mariadb command-line client, including batch mode output, delimiter handling, safe-updates, charset detection, and TLS defaults, for writing or reviewing shell commands and scripts.
0