{"library":"pytorch-crf","type":"library","category":null,"description":"PyTorch CRF is a library for implementing Conditional Random Fields (CRF) in PyTorch. Version 0.7.2 is the latest stable release. It provides a CRF layer that can be used in sequence labeling models. The library is lightweight and well-maintained, released under the MIT license.","language":"python","status":"active","version":"0.7.2","tags":["CRF","conditional-random-field","sequential-labeling","ner"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install pytorch-crf","imports":["from torchcrf import CRF"]}],"homepage":"https://github.com/kmkurn/pytorch-crf","github":"https://github.com/kmkurn/pytorch-crf","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}