[package] name = "rust-bert" version = "0.7.9" authors = ["Guillaume Becquin "] edition = "2018" description = "Ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)" repository = "https://github.com/guillaume-be/rust-bert" documentation = "https://docs.rs/rust-bert" license = "Apache-2.0" readme = "README.md" keywords = ["nlp", "deep-learning", "machine-learning", "transformers", "translation"] # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [lib] name = "rust_bert" path = "src/lib.rs" crate-type = ["lib"] [[bin]] name = "convert-tensor" path = "src/convert-tensor.rs" doc = false [features] doc-only = ["tch/doc-only"] all-tests = [] [package.metadata.docs.rs] features = [ "doc-only" ] [dependencies] rust_tokenizers = "~3.1.4" tch = "~0.1.7" serde_json = "1.0.51" serde = {version = "1.0.106", features = ["derive"]} failure = "0.1.7" dirs = "2.0.0" itertools = "0.9.0" ordered-float = "1.0.2" csv = "1.1.3" reqwest = "0.10.4" lazy_static = "1.4.0" uuid = {version="0.8.1", features =["v4"]} tokio = { version = "0.2.21", features = ["full"] }