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", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("d0r1h/LEDBill") model = AutoModelForSeq2SeqLM.from_pretrained("d0r1h/LEDBill", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a467e5feeb00f63660c0f88732cdb7d43f4036951b4a324f7a7321dc2ea53a5
- Size of remote file:
- 1.29 GB
- SHA256:
- 4f2cbee55b92b0cea9f0b766ce0c07ebbd45a3a7fb2f87cb0d81f1b040fa24f0
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