Instructions to use graphcore-rahult/bert-base-cased-wikitext2-test-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use graphcore-rahult/bert-base-cased-wikitext2-test-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="graphcore-rahult/bert-base-cased-wikitext2-test-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("graphcore-rahult/bert-base-cased-wikitext2-test-mlm") model = AutoModelForMaskedLM.from_pretrained("graphcore-rahult/bert-base-cased-wikitext2-test-mlm") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:14b77f0d514a075e284150db768a1651ca7edd63d9c87af7df63da5eb0ae4f23
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size 216709504
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