Instructions to use HamdanXI/bert-base-paradetox-editOps-editDistance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamdanXI/bert-base-paradetox-editOps-editDistance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HamdanXI/bert-base-paradetox-editOps-editDistance")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HamdanXI/bert-base-paradetox-editOps-editDistance") model = AutoModelForMaskedLM.from_pretrained("HamdanXI/bert-base-paradetox-editOps-editDistance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HamdanXI/bert-base-paradetox-editOps-editDistance: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/HamdanXI/bert-base-paradetox-editOps-editDistance/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HamdanXI/bert-base-paradetox-editOps-editDistance/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HamdanXI/bert-base-paradetox-editOps-editDistance/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 8fcc51bba0a05dfada85a2886d6d0c112129aef5b70759e0c0c18b2f98945ac3
- Size of remote file:
- 438 MB
- SHA256:
- 6b3246615880707dad547e907b88b030bbd7de6ccb3d93f7e20f777fd1b7e422
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