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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d275aa1158234e4a4644d10f7f44593507a8d3cf3d26982d54613157a025b41b
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size 466902024
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