Instructions to use LorenzoAleCon29/roberta-large-ECB-dapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LorenzoAleCon29/roberta-large-ECB-dapt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LorenzoAleCon29/roberta-large-ECB-dapt")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LorenzoAleCon29/roberta-large-ECB-dapt") model = AutoModelForMaskedLM.from_pretrained("LorenzoAleCon29/roberta-large-ECB-dapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 770dd51d49201cf36012cbb7f2c2e86dd59e2cbba86092d3cb9c662886f3839c
- Size of remote file:
- 5.2 kB
- SHA256:
- efbf0a1e5d39cafd907ed27b95d3ec9836b350efc76bc7e1b2237be9098e8ce0
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