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:
- 7d767eba9a8dd8e952ac66a5909cc209612df2a647148d8801e430040f0e92de
- Size of remote file:
- 501 MB
- SHA256:
- 3c9cc492ef7a1a9cd3e08dbabce6e8eef942e5d355ffdab19dbfbdd226eb7ae1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.