Instructions to use UBC-NLP/InfoDCL-BERTweet-hashtag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/InfoDCL-BERTweet-hashtag with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("UBC-NLP/InfoDCL-BERTweet-hashtag") model = RobertaForCL.from_pretrained("UBC-NLP/InfoDCL-BERTweet-hashtag") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09feba5f975c0804dfb329bbae2ca57201d67ea9d2ef057791b4b9c0a2817d79
- Size of remote file:
- 778 MB
- SHA256:
- 58464284d5fbbf1a30103fe29328a4442b8b8379a7db8c9e3b81e6872d3d2886
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