Instructions to use CapoCapped/T5Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CapoCapped/T5Base 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="CapoCapped/T5Base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("CapoCapped/T5Base") model = AutoModelWithLMHead.from_pretrained("CapoCapped/T5Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from CapoCapped/T5Base: direct link, hf CLI and curl.
- Browser
- Download file 29 Bytes
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https://huggingface.co/CapoCapped/T5Base/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://CapoCapped/T5Base@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/CapoCapped/T5Base/resolve/refs%2Fpr%2F1/README.md
29 Bytes
| tags: | |
| - summarization | |