Instructions to use SDS23/text_highlighting_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SDS23/text_highlighting_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SDS23/text_highlighting_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SDS23/text_highlighting_model") model = AutoModelForTokenClassification.from_pretrained("SDS23/text_highlighting_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
9faa397 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bb148fdf966b6c4c455f076a454b321a897e965c411265b3eb635f70c0e7f056
size 5368
|