pub struct Model { /* private fields */ }Expand description
UDPipe model wrapper.
This is the main type for loading and using UDPipe models. Models can be loaded from files or from memory.
Implementations§
Source§impl Model
impl Model
Sourcepub fn load(path: impl AsRef<Path>) -> Result<Self, UdpipeError>
pub fn load(path: impl AsRef<Path>) -> Result<Self, UdpipeError>
Load a model from a file path.
§Example
use udpipe_rs::Model;
let model = Model::load("english-ewt-ud-2.5-191206.udpipe").expect("Failed to load model");Sourcepub fn load_from_memory(data: &[u8]) -> Result<Self, UdpipeError>
pub fn load_from_memory(data: &[u8]) -> Result<Self, UdpipeError>
Load a model from a byte slice.
This is useful for loading models from network sources or embedded data.
§Example
use udpipe_rs::Model;
let model_data = std::fs::read("english-ewt-ud-2.5-191206.udpipe").expect("Failed to read model");
let model = Model::load_from_memory(&model_data).expect("Failed to load model");Sourcepub fn parse(&self, text: &str) -> Result<Vec<Word>, UdpipeError>
pub fn parse(&self, text: &str) -> Result<Vec<Word>, UdpipeError>
Parse text and return all words with their UD annotations.
The text is tokenized, tagged, lemmatized, and parsed for dependencies.
§Example
use udpipe_rs::Model;
let model = Model::load("english-ewt-ud-2.5-191206.udpipe").expect("Failed to load");
let words = model.parse("The quick brown fox.").expect("Failed to parse");
for word in words {
println!("{} -> {} ({})", word.form, word.lemma, word.upostag);
}Trait Implementations§
Auto Trait Implementations§
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Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more