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:
- 5de8a24758bcfd75b2f7217b90f66903d9f1e46817522e35fd20b772e53bf0bb
- Size of remote file:
- 4.54 kB
- SHA256:
- d34ce5fb6584db59caa68fee8e3d287309c67e0cabb751736f8ec360c0c9796d
路
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