Instructions to use guldasta/xtreme-MLQA.hi.hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guldasta/xtreme-MLQA.hi.hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="guldasta/xtreme-MLQA.hi.hi")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("guldasta/xtreme-MLQA.hi.hi") model = AutoModelForQuestionAnswering.from_pretrained("guldasta/xtreme-MLQA.hi.hi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3e7460cc0bd32f464aa7729157fdf9314b8d36afb576e345d4cb47497144802
- Size of remote file:
- 16.3 MB
- SHA256:
- 09f5d1fffe9680c4b06f22bd0698053811665a9eeee298b5d218b0401e3b7c13
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