xberg 1.0.1

High-performance document intelligence library for Rust. Extract text, metadata, and structured data from PDFs, Office documents, images, and 98 formats and 306 programming languages via tree-sitter code intelligence with async/sync APIs.
Documentation
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# sha256 manifest for the xberg-io/sparse-embeddings preset fleet (self-hosted, weights unmodified).
# Format: <sha256>  <repo-relative path>. Pins the exact bytes each preset resolves to.
d9bca6f921871bb5f6f1a08b2fab13fb773477043096d390ec2c9f977141e283  splade/config.json
0934583a27a031a66b2e847cbc260fbbef29689e969f500436460ef5146a43f2  splade/model.onnx
b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3  splade/special_tokens_map.json
2fc687b11de0bc1b3d8348f92e3b49ef1089a621506c7661fbf3248fcd54947e  splade/tokenizer.json
03819ec4a7548cc9419e0190592e0973e9496a14f21535c692c4d16ced283bf1  opensearch-v3-distill/config.json
574a97d2d2fdeb082b4c685a28b25b2914f0468127f865699f58fad74826c3a1  opensearch-v3-distill/model.onnx
f9bffdc01f0a57640e8573ae6eb73b1be83d87b498edf93ad13251166232b9aa  opensearch-v3-distill/model.onnx.data
5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a  opensearch-v3-distill/special_tokens_map.json
5f218e0ea9eaa9f154815cc067351fb941bea26da81bfd12af3ded3cc66fa3ff  opensearch-v3-distill/tokenizer.json
74fe3555a2e4e56248a4f64333c7891f07acc7f0276c01a40764defc9564a839  opensearch-v3-distill/tokenizer_config.json
07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3  opensearch-v3-distill/vocab.txt