Instructions to use vbius01/est-roberta-ud-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vbius01/est-roberta-ud-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vbius01/est-roberta-ud-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vbius01/est-roberta-ud-ner") model = AutoModelForTokenClassification.from_pretrained("vbius01/est-roberta-ud-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
1c18a20 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e86bc28e16647ae0f011194122976d10ad414abc558a77ad8fb5c52758d6ed38
size 929673914
|