Instructions to use Rickxsh/multitask_ner_model_monetary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rickxsh/multitask_ner_model_monetary with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rickxsh/multitask_ner_model_monetary", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 300b9fa339073a47be3453360d6dc8e6133c66f7692d9c9e79a9b29a6208d459
- Size of remote file:
- 433 MB
- SHA256:
- 8757f291f1d125ee03210c5f8a516441e0a987ab5c1a031c025a067a109b4ca3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.