Instructions to use deepaksamuel-cuk/t5-small-clean-single-tracks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepaksamuel-cuk/t5-small-clean-single-tracks with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="deepaksamuel-cuk/t5-small-clean-single-tracks")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("deepaksamuel-cuk/t5-small-clean-single-tracks") model = AutoModelForSeq2SeqLM.from_pretrained("deepaksamuel-cuk/t5-small-clean-single-tracks") - Notebooks
- Google Colab
- Kaggle
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Model tree for deepaksamuel-cuk/t5-small-clean-single-tracks
Base model
google-t5/t5-small