Instructions to use LorenzoAleCon29/roberta-base-ECB-dapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LorenzoAleCon29/roberta-base-ECB-dapt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LorenzoAleCon29/roberta-base-ECB-dapt")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LorenzoAleCon29/roberta-base-ECB-dapt") model = AutoModelForMaskedLM.from_pretrained("LorenzoAleCon29/roberta-base-ECB-dapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d08dbf14e144cbfdf392bd5af789d051c6e4c8e06ec9ec028de37252334600a4
- Size of remote file:
- 5.2 kB
- SHA256:
- caa10426504b8bb3c70ebd23db32cc4c498871f12acc2715e8a9920ea57adab3
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