Instructions to use pitehu/T5_NER_CONLL_ENTITYREPLACE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pitehu/T5_NER_CONLL_ENTITYREPLACE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pitehu/T5_NER_CONLL_ENTITYREPLACE") model = AutoModelForSeq2SeqLM.from_pretrained("pitehu/T5_NER_CONLL_ENTITYREPLACE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b14c32ea6e6f47c2c742739a65a137d9c29f73b1f31b17ded7bb3fc7c03ea8bb
- Size of remote file:
- 242 MB
- SHA256:
- b5c1c2215dd993a17e70d5d321b65f44d7701b98c7318d556d6ad03cd118094e
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