Instructions to use mrm8488/switch-base-16-finetuned-xsum-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/switch-base-16-finetuned-xsum-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/switch-base-16-finetuned-xsum-2") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/switch-base-16-finetuned-xsum-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bdc40f7fc8724a3fa8c81c8c2f1cd6ddf2076a48d1a9067967e52c2a06733cb
- Size of remote file:
- 1.24 GB
- SHA256:
- 08ff71cadd735b89b6b8f1ef2b24c39f600d87d6e9fb16fa2c9540298f020e21
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