Instructions to use sefa23/normalization-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sefa23/normalization-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sefa23/normalization-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sefa23/normalization-bert") model = AutoModelForMaskedLM.from_pretrained("sefa23/normalization-bert") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
060b7f4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a6a766d9f9c643d5835f88f9184a9d82bad7f902720b4cd8001ead15ce2387b8
size 442627224
|