Sponsored by
Vmake Labs Video Enhancer
-Vmake Labs Video Enhancer uses AI to improve video quality, restore details, reduce blur, and upscale videos to 8K.
Introduction of bert-base-multilingual-cased-pos-english
Model Details of bert-base-multilingual-cased-pos-english
BERT-base-multilingual-cased finetuned for Part-of-Speech tagging
This is a multilingual BERT model fine tuned for part-of-speech tagging for English. It is trained using the Penn TreeBank (Marcus et al., 1993) and achieves an F1-score of 96.69.
Usage
A
transformers
pipeline can be used to run the model:
from transformers import AutoTokenizer, AutoModelForTokenClassification, TokenClassificationPipeline
model_name = "QCRI/bert-base-multilingual-cased-pos-english"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForTokenClassification.from_pretrained(model_name)
pipeline = TokenClassificationPipeline(model=model, tokenizer=tokenizer)
outputs = pipeline("A test example")
print(outputs)
Citation
This model was used for all the part-of-speech tagging based results in
Analyzing Encoded Concepts in Transformer Language Models
, published at NAACL'22. If you find this model useful for your own work, please use the following citation:
@inproceedings{sajjad-NAACL,
title={Analyzing Encoded Concepts in Transformer Language Models},
author={Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Firoj Alam, Abdul Rafae Khan and Jia Xu},
booktitle={North American Chapter of the Association of Computational Linguistics: Human Language Technologies (NAACL)},
series={NAACL~'22},
year={2022},
address={Seattle}
}
Runs of QCRI bert-base-multilingual-cased-pos-english on huggingface.co
731
Total runs
4
24-hour runs
4
3-day runs
31
7-day runs
-36
30-day runs
More Information About bert-base-multilingual-cased-pos-english huggingface.co Model
More bert-base-multilingual-cased-pos-english license Visit here:
bert-base-multilingual-cased-pos-english huggingface.co is an AI model on huggingface.co that provides bert-base-multilingual-cased-pos-english's model effect (), which can be used instantly with this QCRI bert-base-multilingual-cased-pos-english model. huggingface.co supports a free trial of the bert-base-multilingual-cased-pos-english model, and also provides paid use of the bert-base-multilingual-cased-pos-english. Support call bert-base-multilingual-cased-pos-english model through api, including Node.js, Python, http.
bert-base-multilingual-cased-pos-english huggingface.co is an online trial and call api platform, which integrates bert-base-multilingual-cased-pos-english's modeling effects, including api services, and provides a free online trial of bert-base-multilingual-cased-pos-english, you can try bert-base-multilingual-cased-pos-english online for free by clicking the link below.
QCRI bert-base-multilingual-cased-pos-english online free url in huggingface.co:
bert-base-multilingual-cased-pos-english is an open source model from GitHub that offers a free installation service, and any user can find bert-base-multilingual-cased-pos-english on GitHub to install. At the same time, huggingface.co provides the effect of bert-base-multilingual-cased-pos-english install, users can directly use bert-base-multilingual-cased-pos-english installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
bert-base-multilingual-cased-pos-english install url in huggingface.co: