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
File size: 134 Bytes
121120f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6a7b1b3e94569c1da0d4409daa6b38daf048bc1feb149845b97eead1a8fc777e
size 467443364
|