Instructions to use ahmedattia143/roberta_squadv1_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedattia143/roberta_squadv1_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ahmedattia143/roberta_squadv1_base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ahmedattia143/roberta_squadv1_base") model = AutoModelForQuestionAnswering.from_pretrained("ahmedattia143/roberta_squadv1_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3695f6c287e15b0c8c43128f642daaee541611103eba89e6ab8ec05d6d5aed74
- Size of remote file:
- 2.29 kB
- SHA256:
- e3b07aacf68c2cacc7e02a6c4a4766a4030838559746e0d0a92ed6281acb2369
路
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