Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
speech-encoder-decoder
Generated from Trainer
Instructions to use Rolv-Arild/xls-r-300m-npsc-seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rolv-Arild/xls-r-300m-npsc-seq2seq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Rolv-Arild/xls-r-300m-npsc-seq2seq")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("Rolv-Arild/xls-r-300m-npsc-seq2seq") model = AutoModelForSpeechSeq2Seq.from_pretrained("Rolv-Arild/xls-r-300m-npsc-seq2seq") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot