Instructions to use stephen423/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stephen423/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="stephen423/bert-base-cased-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("stephen423/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("stephen423/bert-base-cased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from stephen423/bert-base-cased-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/stephen423/bert-base-cased-wikitext2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://stephen423/bert-base-cased-wikitext2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stephen423/bert-base-cased-wikitext2/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 6274ebdea1f9a8b3008a3980c181b3c1180810c67efed3973a3672abff4b37cd
- Size of remote file:
- 433 MB
- SHA256:
- b00e086c8634dec862a9b61356b52b96ef0e556977d95b1ba816f3318b176746
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