Instructions to use amroadel1/ltgbert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amroadel1/ltgbert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="amroadel1/ltgbert-qa", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("amroadel1/ltgbert-qa", trust_remote_code=True) model = AutoModelForQuestionAnswering.from_pretrained("amroadel1/ltgbert-qa", trust_remote_code=True) - 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 sha256:2a626645b0040ec5de1634f50643395aa8a2e66ce4d1d013aa12265d209027ca
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size 418041864
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