Downloads · 30 days
70
0% of all-time downloads
tner-xlm-roberta-base-uncased-ontonotes5
asahi417/tner-xlm-roberta-base-uncased-ontonotes5
tner-xlm-roberta-base-uncased-ontonotes5 is a token classification model from asahi417. Use it when you need labels on individual words, such as names. It is set up for transformers.
XLM-RoBERTa finetuned on NER. Check more detail at TNER repository.
All-time downloads
120K
Public
Repo size
2.2 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin1.1 GB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 13, 2021
- SHA
- 580551e1
Try a prompt
Spaces
Model card
From the Hugging Face model README
XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at TNER repository.
Usage
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-uncased-ontonotes5")
model = AutoModelForTokenClassification.from_pretrained("asahi417/tner-xlm-roberta-base-uncased-ontonotes5")
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Mar 2, 2022
- Updated
- Feb 13, 2021