Instructions to use khleeloo/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khleeloo/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="khleeloo/bert-base-cased-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("khleeloo/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("khleeloo/bert-base-cased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from khleeloo/bert-base-cased-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/khleeloo/bert-base-cased-wikitext2/resolve/main/training_args.bin
- Command line
-
hf download hf://khleeloo/bert-base-cased-wikitext2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/khleeloo/bert-base-cased-wikitext2/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 3f58f81489020c90a70825e76ba047f0d92ab6bea9add2d82fcdae934928f865
- Size of remote file:
- 4.09 kB
- SHA256:
- a744f0ceb7d2df32d02b35726970352a631828c7ee8daa18bdbf78eeb0fcb7f5
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