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SkillsMP hat 3 Skills aus google-ai-edge/litert-torch gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 3 von 3 gesammelten Skills angezeigt.
Converts PyTorch models (e.g. ResNet, timm, HuggingFace transformers) directly to LiteRT (.tflite) flatbuffer format. Use when converting PyTorch models to TFLite, setting up export environments, or troubleshooting torch-to-litert conversion bugs. Don't use…
Quellsprache: Englisch
Assists the user to calibrate, merge, and statically quantize litert LLM models (such as Gemma 3) in standard open-source (OSS) environments. Use when the user wants to run LLM calibration, merge task JSON results, align KV cache parameters across models,…
Quellsprache: Englisch
Validates equivalence between LiteRT models (litert_lm) and PyTorch models (transformers). Use when you need to verify that an exported LiteRT model produces the same outputs as the original Hugging Face model. Supports multi-turn conversations and custom…
Quellsprache: Englisch