Automatic Speech Recognition
PEFT
Safetensors
Lingala
speech-recognition
whisper
lingala
bantu-languages
lora
Instructions to use BantuLanguagesInitiative/bli-asr-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BantuLanguagesInitiative/bli-asr-0 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("openai/whisper-large-v3") model = PeftModel.from_pretrained(base_model, "BantuLanguagesInitiative/bli-asr-0") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BantuLanguagesInitiative/bli-asr-0: direct link, hf CLI and curl.
- Browser
- Download file 5.52 kB
-
https://huggingface.co/BantuLanguagesInitiative/bli-asr-0/resolve/main/training_args.bin
- Command line
-
hf download hf://BantuLanguagesInitiative/bli-asr-0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BantuLanguagesInitiative/bli-asr-0/resolve/main/training_args.bin
5.52 kB
- Xet hash:
- ef505ab4d6de636759ab3134e5246d259ea4dc494f109f7f5894ac090b414bbc
- Size of remote file:
- 5.52 kB
- SHA256:
- 4de44343672f390f2872780671805b56347d9efad805184ffc0dc71d73974796
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