Instructions to use sdadas/xlm-roberta-large-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdadas/xlm-roberta-large-twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sdadas/xlm-roberta-large-twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sdadas/xlm-roberta-large-twitter") model = AutoModelForMaskedLM.from_pretrained("sdadas/xlm-roberta-large-twitter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8567218e0cd8d0a1f44c3bbe57579892f0196ed1199067e7467584d030de9b4
- Size of remote file:
- 2.24 GB
- SHA256:
- 8daeb3c251a57109c1cf563af0ec5dbaefcf48160c43f78c897e2ed20042f686
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.