A deep learning based sequence tagging library with CRF layer on the top of transformer models.
Project description
t-crf
a crf head on the top of transformers sequence tagger models.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tcrf-0.0.1.tar.gz
(31.8 kB
view details)
Built Distribution
tcrf-0.0.1-py3-none-any.whl
(33.5 kB
view details)
File details
Details for the file tcrf-0.0.1.tar.gz.
File metadata
- Download URL: tcrf-0.0.1.tar.gz
- Upload date:
- Size: 31.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 34d9f6154b26e85e92f06e5f561db4b6c5c4a45c0ef09182444ebf323a51db28 |
|
| MD5 | 4c2ea195b9ca13a77dc8bf3b94b1ce6c |
|
| BLAKE2b-256 | 7793e1aecd2670eca3b02b566f7a21d466f6164200234f03da8ed7a55b38ee48 |
File details
Details for the file tcrf-0.0.1-py3-none-any.whl.
File metadata
- Download URL: tcrf-0.0.1-py3-none-any.whl
- Upload date:
- Size: 33.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f757ec24335f74b7fa550d09438131e230f6d6c6af76afe63b71a5b556f0dac7 |
|
| MD5 | 8cdc3e57c459eeceedd21077293b9623 |
|
| BLAKE2b-256 | 1618b53e1b0027c9420c2a0ce5a422c218501826aa297ca8a101e794e9b50caf |
