How to use NbAiLabArchive/scream_small_beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_small_beta")
# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_small_beta") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_small_beta", device_map="auto")
https://huggingface.co/NbAiLabArchive/scream_small_beta/resolve/a0b60513f8d14ea6ccebd76f47d08ab2155bea20/vocab.json
hf download hf://NbAiLabArchive/scream_small_beta@a0b60513f8d14ea6ccebd76f47d08ab2155bea20/vocab.json
curl -L -o vocab.json https://huggingface.co/NbAiLabArchive/scream_small_beta/resolve/a0b60513f8d14ea6ccebd76f47d08ab2155bea20/vocab.json
