This is a BERT model pre-trained on Thai Wikipedia texts for POS-tagging and dependency-parsing, derived from
bert-base-th-cased
. Every word is tagged by
UPOS
(Universal Part-Of-Speech).
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-thai-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-thai-upos")
bert-base-thai-upos huggingface.co is an AI model on huggingface.co that provides bert-base-thai-upos's model effect (), which can be used instantly with this KoichiYasuoka bert-base-thai-upos model. huggingface.co supports a free trial of the bert-base-thai-upos model, and also provides paid use of the bert-base-thai-upos. Support call bert-base-thai-upos model through api, including Node.js, Python, http.
bert-base-thai-upos huggingface.co is an online trial and call api platform, which integrates bert-base-thai-upos's modeling effects, including api services, and provides a free online trial of bert-base-thai-upos, you can try bert-base-thai-upos online for free by clicking the link below.
KoichiYasuoka bert-base-thai-upos online free url in huggingface.co:
bert-base-thai-upos is an open source model from GitHub that offers a free installation service, and any user can find bert-base-thai-upos on GitHub to install. At the same time, huggingface.co provides the effect of bert-base-thai-upos install, users can directly use bert-base-thai-upos installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
bert-base-thai-upos install url in huggingface.co: