Instructions to use haurajahra/Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haurajahra/Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haurajahra/Model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("haurajahra/Model") model = AutoModelForQuestionAnswering.from_pretrained("haurajahra/Model") - 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:dc9f8a2bee2b9e921c030e3d146152e01b45cb691d53c674f276b127602fa099
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size 439899960
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