Instructions to use cardiffnlp/twitter-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cardiffnlp/twitter-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base") model = AutoModelForMaskedLM.from_pretrained("cardiffnlp/twitter-roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9264289c736844bac6bd609f44bde4a570c9bdb01c8da7b6abac3bd88d1ab13
- Size of remote file:
- 499 MB
- SHA256:
- 856f55ce7485447731a85b002ce1804eef505d6c0e25a1dc16a3100780becc82
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