Instructions to use firqaaa/indo-dpr-ctx_encoder-multiset-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use firqaaa/indo-dpr-ctx_encoder-multiset-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="firqaaa/indo-dpr-ctx_encoder-multiset-base")# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("firqaaa/indo-dpr-ctx_encoder-multiset-base") model = DPRContextEncoder.from_pretrained("firqaaa/indo-dpr-ctx_encoder-multiset-base") - 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:cefa4f7072df3908883aae2f31152a3948566aa9176a4e5b06a1664c92a09bd5
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size 442495928
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