Instructions to use gaussalgo/xlm-roberta-large_extractive-QA_en-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaussalgo/xlm-roberta-large_extractive-QA_en-cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="gaussalgo/xlm-roberta-large_extractive-QA_en-cs")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("gaussalgo/xlm-roberta-large_extractive-QA_en-cs") model = AutoModelForQuestionAnswering.from_pretrained("gaussalgo/xlm-roberta-large_extractive-QA_en-cs") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): e09c0df
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (23b4a3c1934e6065d0c3d246d70e45fcea4dbd10)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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