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:
- 1edee4380ae72e42a591bbc966400991dcbb2a82c8612c0149183abe77c22b50
- Size of remote file:
- 3.12 kB
- SHA256:
- 52b2c282c09abb574a38c22e168cde04bc882a8b5e0abd1d8e36648f2c14a679
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