Instructions to use tiagoblima/punctuation-nilc-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagoblima/punctuation-nilc-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tiagoblima/punctuation-nilc-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("tiagoblima/punctuation-nilc-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f73a1adeb4653b8aaad9a5cf4643f5898f68afa9aa0a46dde2faacc945c037ed
- Size of remote file:
- 892 MB
- SHA256:
- 0615fe28ef40bdcc414820529e5e4829b62d41bcfa8c92e12b0860f768cd3d73
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