Instructions to use approach0/dpr-cotbert-320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use approach0/dpr-cotbert-320 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="approach0/dpr-cotbert-320")# Load model directly from transformers import AutoTokenizer, DprEncoder tokenizer = AutoTokenizer.from_pretrained("approach0/dpr-cotbert-320") model = DprEncoder.from_pretrained("approach0/dpr-cotbert-320") - Notebooks
- Google Colab
- Kaggle
File size: 301 Bytes
42031f1 5bbd6ff 42031f1 5bbd6ff 3919a32 5bbd6ff | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | #!/bin/bash
set -ex
git lfs install
find ckpt -type f | xargs -I{} cp {} .
git lfs track events.out.*
git lfs track pytorch_model.bin
tmp_branch=hgf-`uuidgen`
git checkout -b $tmp_branch
git add .
git commit -am 'update model'
git push -f hgf $tmp_branch:main
git checkout -
git branch -D $tmp_branch
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