Instructions to use manishiitg/spanbert-recruit-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manishiitg/spanbert-recruit-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="manishiitg/spanbert-recruit-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("manishiitg/spanbert-recruit-qa") model = AutoModelForQuestionAnswering.from_pretrained("manishiitg/spanbert-recruit-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09c6326d2c1f238935d1020659a0660708dfcbcd7f47eb435989bf0585930220
- Size of remote file:
- 1.33 GB
- SHA256:
- c387ac2f3982c7b561e0e06b4f5449100bafcfda025cdefd78bb0a5ebd396783
路
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