How to use Kibalama/lugandaSTT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Kibalama/lugandaSTT")
# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Kibalama/lugandaSTT") model = AutoModelForSpeechSeq2Seq.from_pretrained("Kibalama/lugandaSTT", device_map="auto")
How to use Kibalama/lugandaSTT with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Kibalama/lugandaSTT to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Kibalama/lugandaSTT to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Kibalama/lugandaSTT to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Kibalama/lugandaSTT", max_seq_length=2048, )
