Instructions to use botcon/XLNET_squadshift_finetuned_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use botcon/XLNET_squadshift_finetuned_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="botcon/XLNET_squadshift_finetuned_large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("botcon/XLNET_squadshift_finetuned_large") model = AutoModelForQuestionAnswering.from_pretrained("botcon/XLNET_squadshift_finetuned_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c5f4d1ac152db7fb38bc841f12abe86040788c2669e5bfe62402f6215390db5
- Size of remote file:
- 1.44 GB
- SHA256:
- f2dad3e04d8299f026de5a6e2f500c7ad92601139acdce031550b18874b2778a
路
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