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/d13ecb40aa996b3985fb8d2d8327b0d7bb843f7e/training_tokenizer-vocab.json
hf download hf://NbAiLabArchive/scream_small_beta@d13ecb40aa996b3985fb8d2d8327b0d7bb843f7e/training_tokenizer-vocab.json
curl -L -o training_tokenizer-vocab.json https://huggingface.co/NbAiLabArchive/scream_small_beta/resolve/d13ecb40aa996b3985fb8d2d8327b0d7bb843f7e/training_tokenizer-vocab.json
