Instructions to use dhladek/slovakbert-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhladek/slovakbert-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dhladek/slovakbert-sts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dhladek/slovakbert-sts") model = AutoModel.from_pretrained("dhladek/slovakbert-sts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dhladek/slovakbert-sts: direct link, hf CLI and curl.
- Browser
- Download file 2.26 MB
-
https://huggingface.co/dhladek/slovakbert-sts/resolve/main/tokenizer.json
- Command line
-
hf download hf://dhladek/slovakbert-sts/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dhladek/slovakbert-sts/resolve/main/tokenizer.json
2.26 MB
File too large to display, you can check the raw version instead.