Instructions to use sanchit-gandhi/flax-wav2vec2-2-bart-large-cnn-gradient-accumulation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanchit-gandhi/flax-wav2vec2-2-bart-large-cnn-gradient-accumulation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sanchit-gandhi/flax-wav2vec2-2-bart-large-cnn-gradient-accumulation")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sanchit-gandhi/flax-wav2vec2-2-bart-large-cnn-gradient-accumulation") model = AutoModelForMultimodalLM.from_pretrained("sanchit-gandhi/flax-wav2vec2-2-bart-large-cnn-gradient-accumulation") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!