rust-bert 0.7.5

[[bin]]
doc = false
name = "convert-tensor"
path = "src/convert-tensor.rs"
[dependencies.csv]
version = "1.1.3"

[dependencies.dirs]
version = "2.0.0"

[dependencies.failure]
version = "0.1.7"

[dependencies.itertools]
version = "0.9.0"

[dependencies.lazy_static]
version = "1.4.0"

[dependencies.ordered-float]
version = "1.0.2"

[dependencies.reqwest]
version = "0.10.4"

[dependencies.rust_tokenizers]
version = "~3.1.2"

[dependencies.serde]
features = ["derive"]
version = "1.0.106"

[dependencies.serde_json]
version = "1.0.51"

[dependencies.tch]
version = "~0.1.7"

[dependencies.tokio]
features = ["full"]
version = "0.2.19"

[features]
all-tests = []
doc-only = ["tch/doc-only"]

[lib]
crate-type = ["lib"]
name = "rust_bert"
path = "src/lib.rs"

[package]
authors = ["Guillaume Becquin <guillaume.becquin@gmail.com>"]
description = "Ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)"
documentation = "https://docs.rs/rust-bert"
edition = "2018"
keywords = ["nlp", "deep-learning", "machine-learning", "bert", "transformers"]
license = "Apache-2.0"
name = "rust-bert"
readme = "README.md"
repository = "https://github.com/guillaume-be/rust-bert"
version = "0.7.5"
[package.metadata.docs.rs]
features = ["doc-only"]