Instructions to use haritzpuerto/spanbert-large-cased_TriviaQA-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haritzpuerto/spanbert-large-cased_TriviaQA-web with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haritzpuerto/spanbert-large-cased_TriviaQA-web")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("haritzpuerto/spanbert-large-cased_TriviaQA-web") model = AutoModelForQuestionAnswering.from_pretrained("haritzpuerto/spanbert-large-cased_TriviaQA-web", device_map="auto") - 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:abd19240ca6c1374cea7dd05cc2cd4d1c9ef9bf6c29120f53c7c90d95cc5504c
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size 1330177856
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