Instructions to use monideep2255/psst_batch_size_4_base_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monideep2255/psst_batch_size_4_base_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="monideep2255/psst_batch_size_4_base_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("monideep2255/psst_batch_size_4_base_model") model = AutoModelForCTC.from_pretrained("monideep2255/psst_batch_size_4_base_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): b5b96eb
Training in progress, step 200
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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