Instructions to use vickt/LLM_Teached_PEGASUS_CNNDM_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vickt/LLM_Teached_PEGASUS_CNNDM_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vickt/LLM_Teached_PEGASUS_CNNDM_2") model = AutoModelForSeq2SeqLM.from_pretrained("vickt/LLM_Teached_PEGASUS_CNNDM_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signaturef35d05c -
Training in progress, step 3000
Verified signature4a7228a -
Training in progress, step 2500
Verified signature24757b7 -
Training in progress, step 2000
Verified signature783d76f -
Training in progress, step 1500
Verified signature44fc2dc -
Training in progress, step 1000
Verified signaturec9ff694 -
Training in progress, step 500
Verified signature6a0be26 -
initial commit
Verified signature6a6d942