# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("HuggingAnalist/mms-1b-asr-lin")
model = AutoModelForCTC.from_pretrained("HuggingAnalist/mms-1b-asr-lin")Quick Links
MMS-300M — Lingala ASR
facebook/mms-300m fine-tuned (character CTC head) on WaxalNLP lin_asr for the Waxal ASR challenge. Trained in bf16/fp32 with ctc_zero_infinity=True.
language_model/lm_lin.arpa is a KenLM 4-gram built from the training transcriptions, for beam-search decoding with pyctcdecode (tune alpha/beta on validation).
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HuggingAnalist/mms-1b-asr-lin")