Instructions to use johngiorgi/led-large-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johngiorgi/led-large-16384 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="johngiorgi/led-large-16384")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("johngiorgi/led-large-16384") model = AutoModelForSeq2SeqLM.from_pretrained("johngiorgi/led-large-16384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29ea8097b477af779a16840c27ddcbd3ba7c97362ddd04b1da5659855afc02a9
- Size of remote file:
- 1.84 GB
- SHA256:
- 14484807691a3ed038d3596606bc95def0a80f5c3e670c9e35e8aae8dbbd63c9
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