Instructions to use issuegui6009/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use issuegui6009/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="issuegui6009/bert-base-cased-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("issuegui6009/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("issuegui6009/bert-base-cased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from issuegui6009/bert-base-cased-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/issuegui6009/bert-base-cased-wikitext2/resolve/main/training_args.bin
- Command line
-
hf download hf://issuegui6009/bert-base-cased-wikitext2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/issuegui6009/bert-base-cased-wikitext2/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- bbb71d0f95c5d2b598318d9794d97007f1386e192a785948033917725e3da8c6
- Size of remote file:
- 5.91 kB
- SHA256:
- afeb5be35b221a9befd4149bf833f6087e6ec9227863a47e71375f1ad9229aa5
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