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SkillsMP a collecté 3 skills depuis google-ai-edge/litert-torch. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 3 skills collectés sur 3.
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais