Instructions to use cjvt/sleng-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/sleng-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cjvt/sleng-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cjvt/sleng-bert") model = AutoModelForMaskedLM.from_pretrained("cjvt/sleng-bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
5ba56cd
1
Parent(s): 121120f
Add multilingual to the language tag (#1)
Browse files- Add multilingual to the language tag (f25a273daa8b77282eda1ff508144d45e40329af)
Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>