Instructions to use ybelkada/switch-base-8-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/switch-base-8-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ybelkada/switch-base-8-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("ybelkada/switch-base-8-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 699dde7dbc23ba2e42ac4b88d5d7b797443f59446db450b7b1fb695745cb9ed5
- Size of remote file:
- 1.24 GB
- SHA256:
- aa9a963e2c40203a5142bdaad5a4fdb5e86e30744b6e7fee278835f9ef9a419c
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