Instructions to use AdamCodd/distilroberta-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdamCodd/distilroberta-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AdamCodd/distilroberta-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AdamCodd/distilroberta-squad2") model = AutoModelForQuestionAnswering.from_pretrained("AdamCodd/distilroberta-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edbf2b1e330f8b3edb72ff486b098ba5389356a879a1c4ec1da3dfa27b4017e5
- Size of remote file:
- 326 MB
- SHA256:
- 046057718d9a85b5ff163b4ab3864b9bdaceb33c3265718a1addac210fc01b19
路
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