Instructions to use Gantenbein/ADDI-DE-RoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gantenbein/ADDI-DE-RoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Gantenbein/ADDI-DE-RoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Gantenbein/ADDI-DE-RoBERTa") model = AutoModelForQuestionAnswering.from_pretrained("Gantenbein/ADDI-DE-RoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce1e0bbb4b9784e3e124f955db793d9a1673a827a06b05e5762ef27495a0f85a
- Size of remote file:
- 2.35 kB
- SHA256:
- 594c840f0c5a7a6ffb6e859fb111ee38506bba85a977cec952e7414688f1bd2b
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