Instructions to use cardiffnlp/twitter-roberta-base-dec2021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-dec2021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cardiffnlp/twitter-roberta-base-dec2021")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-dec2021") model = AutoModelForMaskedLM.from_pretrained("cardiffnlp/twitter-roberta-base-dec2021") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc5b6a198622c2ca74666087a6ad2e80de8466698626dc5fa9220178006ea729
- Size of remote file:
- 499 MB
- SHA256:
- ecd9938128e8cc1db3cf7718bfee67d87912ec004df5f149d802ef9f707f43dd
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