Instructions to use peter2000/roberta-finetuned-qa-policy_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter2000/roberta-finetuned-qa-policy_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="peter2000/roberta-finetuned-qa-policy_2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("peter2000/roberta-finetuned-qa-policy_2") model = AutoModelForQuestionAnswering.from_pretrained("peter2000/roberta-finetuned-qa-policy_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e4d9a1532de697047ee1f3e9572bd06b452866372c629dd247224478673d40e
- Size of remote file:
- 4.6 kB
- SHA256:
- 5ec6ecb72ece4d9d9c1f385120e9d8f1cb6003acaf286071541ba02adf512958
路
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