Transformers
PyTorch
English
t5
text2text-generation
Named Entity Recognition
text-generation-inference
Instructions to use pitehu/T5_NER_CONLL_LIST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pitehu/T5_NER_CONLL_LIST with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pitehu/T5_NER_CONLL_LIST") model = AutoModelForSeq2SeqLM.from_pretrained("pitehu/T5_NER_CONLL_LIST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- en
tags:
- Named Entity Recognition
license: apache-2.0
datasets:
- wmt19
metrics:
- bleu
- sacrebleu
inference:
parameters:
max_length: 1024