Instructions to use tennessejoyce/titlewave-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tennessejoyce/titlewave-t5-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="tennessejoyce/titlewave-t5-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tennessejoyce/titlewave-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("tennessejoyce/titlewave-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96362312e72bed0602dd17d50390b434089ca57d45ff3b1b1f27bb8cd98221f9
- Size of remote file:
- 892 MB
- SHA256:
- b1b4f691c0e9f23978cc625131dfd3d4b1f204bebfa9315a5b9608d1d42c406c
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