Instructions to use ielabgroup/Reproduced_Pairwise_TAS_Msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/Reproduced_Pairwise_TAS_Msmarco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ielabgroup/Reproduced_Pairwise_TAS_Msmarco")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ielabgroup/Reproduced_Pairwise_TAS_Msmarco") model = AutoModel.from_pretrained("ielabgroup/Reproduced_Pairwise_TAS_Msmarco") - 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 sha256:3b56305c39b8e9555dcaa133f71b021a9c94ed561217935cf460956e103d053d
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size 265462608
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