Instructions to use vickt/LLM_Teached_BART_CNNDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vickt/LLM_Teached_BART_CNNDM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vickt/LLM_Teached_BART_CNNDM") model = AutoModelForSeq2SeqLM.from_pretrained("vickt/LLM_Teached_BART_CNNDM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- decd901b2bc6b24bf0c4a589adb71ec142133c0d0dc559fc2d4770fd56f41255
- Size of remote file:
- 4.48 kB
- SHA256:
- 9dbf6f8310cc01eca3776e7a236abe54186bcd237d9a8b4fd8406d797808d753
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