Instructions to use prajwalJumde/roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajwalJumde/roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="prajwalJumde/roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("prajwalJumde/roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("prajwalJumde/roberta-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddd2360783cdc00eedc97f503b76860ce9c667f02d28d321b863f8b9e5a8505f
- Size of remote file:
- 3.96 kB
- SHA256:
- a5f12f0fb341ee6144f2309c94eb8a58e4963a096650ec663f72c4b59b45bab2
路
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