How to use computeram/badini-w2v-bert-normalized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="computeram/badini-w2v-bert-normalized")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("computeram/badini-w2v-bert-normalized") model = AutoModelForCTC.from_pretrained("computeram/badini-w2v-bert-normalized", device_map="auto")
https://huggingface.co/computeram/badini-w2v-bert-normalized/resolve/main/added_tokens.json
hf download hf://computeram/badini-w2v-bert-normalized/added_tokens.json
curl -L -o added_tokens.json https://huggingface.co/computeram/badini-w2v-bert-normalized/resolve/main/added_tokens.json
