How to use devasheeshG/whisper_large_v2_fp16_transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devasheeshG/whisper_large_v2_fp16_transformers")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devasheeshG/whisper_large_v2_fp16_transformers") model = AutoModelForSpeechSeq2Seq.from_pretrained("devasheeshG/whisper_large_v2_fp16_transformers", device_map="auto")
https://huggingface.co/devasheeshG/whisper_large_v2_fp16_transformers/resolve/main/vocab.json
hf download hf://devasheeshG/whisper_large_v2_fp16_transformers/vocab.json
curl -L -o vocab.json https://huggingface.co/devasheeshG/whisper_large_v2_fp16_transformers/resolve/main/vocab.json
