rust-bert 0.7.2

[package]

name = "rust-bert"

version = "0.7.2"

authors = ["Guillaume Becquin <guillaume.becquin@gmail.com>"]

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", "bert", "transformers"]



# 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 = "2.0.5"

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"

tokio = { version = "0.2.19", features = ["full"] }