Instructions to use Aimlab/Roberta-Base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aimlab/Roberta-Base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aimlab/Roberta-Base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Aimlab/Roberta-Base-NER") model = AutoModelForTokenClassification.from_pretrained("Aimlab/Roberta-Base-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
8cf11c8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:15149b506770f2fffcc030115fee8eb9d34dc131f5aed627b5e857116fae62a6
size 1109895601
|