Instructions to use deepset/quora_dedup_bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/quora_dedup_bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepset/quora_dedup_bert_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepset/quora_dedup_bert_base") model = AutoModel.from_pretrained("deepset/quora_dedup_bert_base") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 85db005
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:434af2a8888970ff6348667466f40fd421e378ad2e6020bb66433d2ce3657a55
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size 437936109
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