How to use ramimmo/wav2vec2phoneme with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ramimmo/wav2vec2phoneme")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ramimmo/wav2vec2phoneme") model = AutoModelForCTC.from_pretrained("ramimmo/wav2vec2phoneme", device_map="auto")
https://huggingface.co/ramimmo/wav2vec2phoneme/resolve/main/custom_train.json
hf download hf://ramimmo/wav2vec2phoneme/custom_train.json
curl -L -o custom_train.json https://huggingface.co/ramimmo/wav2vec2phoneme/resolve/main/custom_train.json
