Instructions to use universalner/uner_ser_set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_ser_set with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_ser_set")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_ser_set") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_ser_set") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e5ca015bc2239bee29fc12664f5e32ce392f309328bfad377ca7692bc7ed114
- Size of remote file:
- 2.24 GB
- SHA256:
- e7f82502ddf6d82a856d461b156c2c7a4554ab30b385d51abc6e8cc50bdb8194
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.