Instructions to use d0r1h/LEDBill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d0r1h/LEDBill 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="d0r1h/LEDBill")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("d0r1h/LEDBill") model = AutoModelForSeq2SeqLM.from_pretrained("d0r1h/LEDBill") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec7c9cc9a921e90ca9a8685b8e8a6b859574e2b3f450025bff03a96a591290c9
- Size of remote file:
- 648 MB
- SHA256:
- 94c5197312565cd9ba650e07d3444a2d4f25f8160a6cb58cc6721cd3e260c5f2
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