Instructions to use vickt/LLM_Teached_PEGASUS_CNNDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vickt/LLM_Teached_PEGASUS_CNNDM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vickt/LLM_Teached_PEGASUS_CNNDM") model = AutoModelForSeq2SeqLM.from_pretrained("vickt/LLM_Teached_PEGASUS_CNNDM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8e24aca03e46c3d60acada4f304dc043e5d24559e5913092dbfda8f6377602b
- Size of remote file:
- 4.48 kB
- SHA256:
- a9f8ee4364e970a59ae9e78fb42f0c8debbbbdd8f0774e22193fbad7cd7d596d
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