Instructions to use mtreviso/ct5-small-en-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtreviso/ct5-small-en-wiki with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mtreviso/ct5-small-en-wiki") model = AutoModelForSeq2SeqLM.from_pretrained("mtreviso/ct5-small-en-wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8899930fe7833c8a00bc6aac8ff9a166c778063166a80696267748562b7cd7d8
- Size of remote file:
- 242 MB
- SHA256:
- 3749e0c0c351c467d844f319a5b817048cec765b521abb72259a1ed5a7eca8a9
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