How to use erickvs/whisper-tiny.en-hand-edited with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="erickvs/whisper-tiny.en-hand-edited")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("erickvs/whisper-tiny.en-hand-edited") model = AutoModelForSpeechSeq2Seq.from_pretrained("erickvs/whisper-tiny.en-hand-edited", device_map="auto")
https://huggingface.co/erickvs/whisper-tiny.en-hand-edited/resolve/main/tokenizer.json
hf download hf://erickvs/whisper-tiny.en-hand-edited/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/erickvs/whisper-tiny.en-hand-edited/resolve/main/tokenizer.json
