Fill-Mask
Transformers
Safetensors
English
deberta-v2
political-nlp
domain-adaptation
argument-mining
sentiment-analysis
stance-detection
named-entity-recognition
political-debates
Instructions to use ddore14/DeRooseBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddore14/DeRooseBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ddore14/DeRooseBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ddore14/DeRooseBERTa") model = AutoModelForMaskedLM.from_pretrained("ddore14/DeRooseBERTa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9504ec62525eca31b546c9823d891ea3a91a75565beb3f5e7892d23403b9779d
- Size of remote file:
- 7.38 kB
- SHA256:
- e49ebd69ac67143ad62b746a7199910921abcb58bbc183253be0532465e1aa48
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