How to use Dev372/Medical_tiny_en_1_1v with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Dev372/Medical_tiny_en_1_1v")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Dev372/Medical_tiny_en_1_1v") model = AutoModelForSpeechSeq2Seq.from_pretrained("Dev372/Medical_tiny_en_1_1v", device_map="auto")
https://huggingface.co/Dev372/Medical_tiny_en_1_1v/resolve/1a9ec52d45e3334c6bb9377d246ccbdcad6c4dee/vocab.json
hf download hf://Dev372/Medical_tiny_en_1_1v@1a9ec52d45e3334c6bb9377d246ccbdcad6c4dee/vocab.json
curl -L -o vocab.json https://huggingface.co/Dev372/Medical_tiny_en_1_1v/resolve/1a9ec52d45e3334c6bb9377d246ccbdcad6c4dee/vocab.json
