Instructions to use Lvxue/ds2-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lvxue/ds2-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lvxue/ds2-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Lvxue/ds2-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Lvxue/ds2-en: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Lvxue/ds2-en/resolve/main/tokenizer.json
- Command line
-
hf download hf://Lvxue/ds2-en/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Lvxue/ds2-en/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.