Instructions to use botcon/XLNET_squad_finetuned_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use botcon/XLNET_squad_finetuned_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="botcon/XLNET_squad_finetuned_large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("botcon/XLNET_squad_finetuned_large") model = AutoModelForQuestionAnswering.from_pretrained("botcon/XLNET_squad_finetuned_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed42fad3a0ac54a34e7e4fa2f082a91a94e0c29d72d852c95293a6525b6d958d
- Size of remote file:
- 1.44 GB
- SHA256:
- 7598e8b42cf9127d489413ea67b3f506558aa1fcdd68d5fadfc8340b07129db3
路
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