Instructions to use mrm8488/switch-base-16-finetuned-xsum 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 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/switch-base-16-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/switch-base-16-finetuned-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7893243a341c38f3ef0c0177e3c7e2bc38b104dcf18d9907c329efeff9293d37
- Size of remote file:
- 1.24 GB
- SHA256:
- cf34db86e4b9d5f1d58fa78d6ff4d1e546f072b26f8ae063e4e9e657bd92b9dc
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