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README.md

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+---
+language: th
+license: apache-2.0
+tags:
+  - whisper
+  - thai
+  - asr
+  - speech-recognition
+  - lora
+  - peft
+  - lotusdis
+datasets:
+  - custom
+base_model: nectec/Pathumma-whisper-th-large-v3
+pipeline_tag: automatic-speech-recognition
+---
+
+# 🇹🇭 Whisper Thai - LOTUSDIS Fine-tuned (LoRA)
+
+Fine-tuned **nectec/Pathumma-whisper-th-large-v3** for Thai distant meeting transcription.
+
+## Training Details
+- **Task:** LOTUSDIS Distant Meeting Transcription Challenge
+- **Method:** LoRA (rank=64, alpha=128)
+- **Training data:** Multi-microphone (6 mic types) ≈ 95K samples
+- **Epochs:** 1
+- **Effective batch size:** 48
+- **Precision:** BF16
+- **Trainable params:** ~2.4% of total
+
+## Usage
+
+```python
+from transformers import pipeline
+
+asr = pipeline(
+    "automatic-speech-recognition",
+    model="Kanompung/whisper-th-lotusdis-lora",
+    device="cuda",
+    chunk_length_s=30,
+)
+
+result = asr("audio.mp3", generate_kwargs={"language": "thai", "task": "transcribe"})
+print(result["text"])
+```
+
+## LoRA Adapter Only
+If you want just the adapter (~150 MB):
+```python
+from peft import PeftModel
+from transformers import WhisperForConditionalGeneration
+
+base = WhisperForConditionalGeneration.from_pretrained("nectec/Pathumma-whisper-th-large-v3")
+model = PeftModel.from_pretrained(base, "Kanompung/whisper-th-lotusdis-lora-adapter")
+```