w2vbert-waxal-r5

A fine-tuned speech recognition model checkpoint built on Meta's W2v-BERT 2.0 encoder, adapted for African-language ASR using the WAXAL corpus. It targets low-resource language speech recognition rather than serving as a general multilingual base model. Source: supabase.