How to use hf-internal-testing/tiny-random-speech-encoder-decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-speech-encoder-decoder")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-speech-encoder-decoder") model = AutoModelForSpeechSeq2Seq.from_pretrained("hf-internal-testing/tiny-random-speech-encoder-decoder", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-speech-encoder-decoder/resolve/refs%2Fpr%2F1/model.safetensors
hf download hf://hf-internal-testing/tiny-random-speech-encoder-decoder@refs/pr/1/model.safetensors
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-speech-encoder-decoder/resolve/refs%2Fpr%2F1/model.safetensors
