Instructions to use SebastianKotstein/restberta-qa-pm-ed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebastianKotstein/restberta-qa-pm-ed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SebastianKotstein/restberta-qa-pm-ed")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SebastianKotstein/restberta-qa-pm-ed") model = AutoModelForQuestionAnswering.from_pretrained("SebastianKotstein/restberta-qa-pm-ed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 870e8283e352be4e1f7cfa8db8f52674d1b70ef40dd5cb3049c13c4746a00c1b
- Size of remote file:
- 497 MB
- SHA256:
- 666f7abb1c00c684956e851b40b162240eac3884660db17ff4031d3034aa724a
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