Instructions to use cardiffnlp/twitter-roberta-base-sep2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-sep2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cardiffnlp/twitter-roberta-base-sep2022")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sep2022") model = AutoModelForMaskedLM.from_pretrained("cardiffnlp/twitter-roberta-base-sep2022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1259e6a1cce39550b3be95585b88c60e1627bd7d509e80458225827a4fe9671
- Size of remote file:
- 499 MB
- SHA256:
- 7e295ca649d71070a4f4dbd4c529cd780ebbc38188064bedbfadb037eaf673af
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