Instructions to use manishiitg/spanbert-large-recruit-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manishiitg/spanbert-large-recruit-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="manishiitg/spanbert-large-recruit-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("manishiitg/spanbert-large-recruit-qa") model = AutoModelForQuestionAnswering.from_pretrained("manishiitg/spanbert-large-recruit-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7145d3ff254f03beaf8cdff7852c69ca01403da1873f7318b968d70387feedc6
- Size of remote file:
- 1.33 GB
- SHA256:
- 5d30446b66414c4d7b0ea2e65d8ca910b5043a5620a490e26bba6086c3cec5d1
路
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