Instructions to use botcon/XLNET_squad_finetuned_qa_tf32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use botcon/XLNET_squad_finetuned_qa_tf32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="botcon/XLNET_squad_finetuned_qa_tf32")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("botcon/XLNET_squad_finetuned_qa_tf32") model = AutoModelForQuestionAnswering.from_pretrained("botcon/XLNET_squad_finetuned_qa_tf32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 983907fd81f1dbbee148a6334fbca69813379078b29867394ec6b1316be73f09
- Size of remote file:
- 467 MB
- SHA256:
- bc790f0163d53fdb8e831c61efde09510e3ac84a38a4169343d9f7142e8a7b48
路
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