Instructions to use Forturne/Klue_MRC_Model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Forturne/Klue_MRC_Model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Forturne/Klue_MRC_Model2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Forturne/Klue_MRC_Model2") model = AutoModelForQuestionAnswering.from_pretrained("Forturne/Klue_MRC_Model2") - 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:be1963c358aa8c0999bae88697c771eed92a4d3909c1c6284da25f3874436a7a
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size 440140696
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