How to use Mehtap/base_12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mehtap/base_12")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mehtap/base_12") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mehtap/base_12", device_map="auto")
https://huggingface.co/Mehtap/base_12/resolve/refs%2Fpr%2F1/README.md
hf download hf://Mehtap/base_12@refs/pr/1/README.md
curl -L -o README.md https://huggingface.co/Mehtap/base_12/resolve/refs%2Fpr%2F1/README.md
license: bigscience-bloom-rail-1.0 language: - av library_name: adapter-transformers tags: - medical
