Instructions to use cardiffnlp/twitter-roberta-base-sep2021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-sep2021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cardiffnlp/twitter-roberta-base-sep2021")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sep2021") model = AutoModelForMaskedLM.from_pretrained("cardiffnlp/twitter-roberta-base-sep2021") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ce31a70184a54787592e90b2001618b855cfdd8d956f3c9559c16591da1e456
- Size of remote file:
- 499 MB
- SHA256:
- 0987f0b2993ba7ce744ef54c129c936d49a58d01c2512795d6ecd4be54d4618b
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