Instructions to use haibotamiu/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haibotamiu/out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haibotamiu/out")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("haibotamiu/out") model = AutoModelForQuestionAnswering.from_pretrained("haibotamiu/out") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:961f6a04e4bd6502d9d5d33cce17d1731a660fdb84bde345e2b0e4d2f2db0d99
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size 44381360
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