Instructions to use universalner/uner_swe_tal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_swe_tal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_swe_tal")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_swe_tal") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_swe_tal") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
537853b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4b9399a384a30880330448178ceb8118e2c3f31682c278df1e31c140f54629cc
size 2235532275
|