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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sefa23/normalization-bert") model = AutoModelForMaskedLM.from_pretrained("sefa23/normalization-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 90 Bytes
060b7f4 | 1 2 3 4 5 6 | {
"_from_model_config": true,
"pad_token_id": 0,
"transformers_version": "4.35.2"
}
|