Instructions to use k35x255/bart-cnn-samsum-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k35x255/bart-cnn-samsum-finetuned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("k35x255/bart-cnn-samsum-finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("k35x255/bart-cnn-samsum-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1026231f94f0d52a5a4487668b1e4fbd1fd968f8c13455d61e5d571dfb7b4b2c
- Size of remote file:
- 1.63 GB
- SHA256:
- 4eb5dfb6aedc41dd63b8cdc49fe4385172a4bf0b334b6cb8325a6fea8127b036
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