Instructions to use k-ush/tevatron_dpr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k-ush/tevatron_dpr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="k-ush/tevatron_dpr")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("k-ush/tevatron_dpr") model = AutoModel.from_pretrained("k-ush/tevatron_dpr") - 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:df30ff8c3237fc22c5e5ff39eebc50c50c6f03f9c34bf9259c7b04f0f20e63ea
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size 437955512
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