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distilbert-base-uncased-ft-conll2003
sarahmiller137/distilbert-base-uncased-ft-conll2003
distilbert-base-uncased-ft-conll2003 is a token classification model from sarahmiller137. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc.
distilbert-base-uncased model finetuned using the conll2003 dataset from the datasets library.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 26, 2023
- SHA
- 04176dbd
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Datasets
Model card
From the Hugging Face model README
Model information:
distilbert-base-uncased model finetuned using the conll2003 dataset from the datasets library.
Intended uses & limitations
This model is intended to be used for named entity recoginition tasks. The model will identify entities of persons, locations, organisations, and miscellaneous. The model will predict lables based upon the CoNLL-2003 dataset.
Note that the dataset and model may not be fully represetative or suitable for all needs it is recommended that the paper for the dataset and base model card should be reviewed before using the model -
How to use
Load the model from the library using the following checkpoints:
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("sarahmiller137/distilbert-base-uncased-ft-conll2003")
model = AutoModel.from_pretrained("sarahmiller137/distilbert-base-uncased-ft-conll2003")
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- cc
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Jul 26, 2023