Instructions to use dsfsi/PuoBERTa-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi/PuoBERTa-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dsfsi/PuoBERTa-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dsfsi/PuoBERTa-NER") model = AutoModelForTokenClassification.from_pretrained("dsfsi/PuoBERTa-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
224d0c2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fc1a5d6f12bd68228dad0a9711fda14935372874b32d33aeece75d9815b72223
size 331503849
|