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:
- b24d4d6a403c31ce03ccf891f835d809e79165098f7aedd06c34a408884a1320
- Size of remote file:
- 5.43 kB
- SHA256:
- dc851d0b38050bc4b65e8a432454cff005c6c66addf73877dd815d5826e79984
路
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