Instructions to use chieunq/XLM-R-base-finetuned-uit-vquad-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chieunq/XLM-R-base-finetuned-uit-vquad-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="chieunq/XLM-R-base-finetuned-uit-vquad-1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("chieunq/XLM-R-base-finetuned-uit-vquad-1") model = AutoModelForQuestionAnswering.from_pretrained("chieunq/XLM-R-base-finetuned-uit-vquad-1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d88b2b36316d9fe40d5c7c67fc253c6192b716abf0d6b142e8e85e3e871395d
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size 1109846632
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