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 pytorch_model.bin from khleeloo/bert-base-cased-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/khleeloo/bert-base-cased-wikitext2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://khleeloo/bert-base-cased-wikitext2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/khleeloo/bert-base-cased-wikitext2/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 01d044ddf6818c6de557eca283c78008ca00411eb3c1a1d6fef0746d8ae57e7f
- Size of remote file:
- 433 MB
- SHA256:
- 11ef7c94d5f5c2a83c855d2a5d93f9536aa14ad47684541b5962620731ccb443
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