Token Classification
Transformers
PyTorch
Slovak
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use crabz/slovakbert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crabz/slovakbert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="crabz/slovakbert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("crabz/slovakbert-ner") model = AutoModelForTokenClassification.from_pretrained("crabz/slovakbert-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
97fee74 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9fbd8a2479c99e55f5906e5e46438562b27e5b5ec36829d0216824b91d41d690
size 496323313
|