Instructions to use HamdanXI/bert-base-paradetox-editOps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamdanXI/bert-base-paradetox-editOps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HamdanXI/bert-base-paradetox-editOps")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HamdanXI/bert-base-paradetox-editOps") model = AutoModelForMaskedLM.from_pretrained("HamdanXI/bert-base-paradetox-editOps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HamdanXI/bert-base-paradetox-editOps: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/HamdanXI/bert-base-paradetox-editOps/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HamdanXI/bert-base-paradetox-editOps/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HamdanXI/bert-base-paradetox-editOps/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- b0fb852d42d5ff9b2155bb1dfe8dcf8a737384ff56954dac5246bfbb601bb189
- Size of remote file:
- 438 MB
- SHA256:
- 342d9ea387687fe26488e309cc64f367226f1313c7c83e78678dc4de901ecd4d
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