Instructions to use Rakib/roberta-base-on-cuad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rakib/roberta-base-on-cuad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Rakib/roberta-base-on-cuad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Rakib/roberta-base-on-cuad") model = AutoModelForQuestionAnswering.from_pretrained("Rakib/roberta-base-on-cuad", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc7e17ea8260ee8cf2cbda3273ddb620ba30f1f0074b0d92d922d1e8ffe541de
- Size of remote file:
- 38 MB
- SHA256:
- a48643074013ae468e7c2aefc8a5987df16958cd53443ed156d43405410dde7b
路
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