Instructions to use creat89/NER_FEDA_Bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creat89/NER_FEDA_Bg with Transformers:
# Load model directly from transformers import AutoTokenizer, BERT_model_multidata tokenizer = AutoTokenizer.from_pretrained("creat89/NER_FEDA_Bg") model = BERT_model_multidata.from_pretrained("creat89/NER_FEDA_Bg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa3fa557896d31af43622440bdbd18626b719eda50b2583fa65a6509804994ee
- Size of remote file:
- 1.89 GB
- SHA256:
- b9c3ddb22e6017925e5022aba9d314187aa464e43feec32d105c97a1a9821eef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.