ESP32-S3 Bench Guide
ESP32-S3 N16R8 bench guide: live pinout, lessons, simulators and the bench log.
Free Lun Bawang translator and Lun Bawang dictionary — translate Lun Bawang to English or Lundayeh to English. AI model fine-tuned on the first parallel corpus for this language of Borneo.
EducationPython · HTMLGitHub @matteuspanOnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
No updates detected yet. GitHub releases will appear here.
Owners of public repositories under a personal GitHub account can sign in to verify ownership and manage the introduction themselves. No administrator approval is needed.
Sign in, generate a verification file, and commit it to this repository’s default branch within 30 minutes. Files on other branches or forks do not count. Then check the file below to manage the project without administrator approval. Keep the file to retain your access.
If needed, you will go to sign-in. After signing in, return here and press your chosen verification button again.
Run /nomorevibe verify in your project folder to verify ownership and manage the introduction yourself.
Verify in one minuteAsk about other verification options
Translator for Lunbawang
Translation pending
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
A bidirectional Lun Bawang ↔ English machine translator, built by fine-tuning language models on the first parallel corpus ever assembled for the language. The web interface is deployed on Render and runs against a fine-tuned model served via the Tinker API. The production default is the v2 dictionary retrain — Inkling-Small · Step 16,000, warm-started from the earlier Inkling checkpoint-11,500 and continued on the OCR'd Kemaloh Lundayeh–English dictionary (22,038 pairs). See Evaluation for how it was selected and Past experiments and versions for the earlier Qwen3-8B and Inkling runs.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
A bidirectional Lun Bawang ↔ English machine translator, built by fine-tuning language models on the first parallel corpus ever assembled for the language. The web interface is deployed on Render and runs against a fine-tuned model served via the Tinker API. The production default is the v2 dictionary retrain — Inkling-Small · Step 16,000, warm-started from the earlier Inkling checkpoint-11,500 and continued on the OCR'd Kemaloh Lundayeh–English dictionary (22,038 pairs). See Evaluation for how it was selected and Past experiments and versions for the earlier Qwen3-8B and Inkling runs.Read the full README ↗