Update README.md

README.md

@@ -21,7 +21,7 @@ pipeline_tag: automatic-speech-recognition
 
 # 🇰🇪 Model Card for `RareElf/kalenjin-asr`
 
-This model is a fine-tuned version of `facebook/wav2vec2-xls-r-300m` for **automatic speech recognition (ASR)** in **Kalenjin**. It represents the **Stage 2 research milestone** in a PhD-level inquiry into low-resource Nilotic languages at **iLabAfrica, Strathmore University**.
+This model is a fine-tuned version of `facebook/wav2vec2-xls-r-300m` for **automatic speech recognition (ASR)** in **Kalenjin**. It represents the **Stage 2 research milestone** in research inquiry into low-resource Nilotic languages at **iLabAfrica, Strathmore University**.
 
 ---
 
@@ -56,27 +56,10 @@ This model leverages the **Wav2Vec2-XLS-R-300M** architecture, specifically fine
 
 ## ⚠️ Bias, Risks, and Limitations
 
-- Performance reflects the distribution of Mozilla Common Voice 11.0.
+- Performance reflects the distribution of Common Voice Scripted Speech 24.0 - Kalenjin.
 - Tonal variations in Kalenjin remain challenging for CTC-based architectures.
 - Performance may vary across dialects not represented in training data.
 
----
-
-## 🧪 How to Get Started
-
-```python
-from transformers import pipeline
-
-transcriber = pipeline(
-    "automatic-speech-recognition",
-    model="RareElf/kalenjin-asr"
-)
-
-result = transcriber("audio_sample.wav")
-print(result["text"])
-```
-
----
 
 ## 🏋️ Training Details