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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da54e8f0520bce024315cefd61d02d504bcdcfde6f4437423fa5a1804c4c35c1
- Size of remote file:
- 242 MB
- SHA256:
- dcb8366866281f226f8cfafdf400fd33991e4dea06e717f54338fa7132f88e2a
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