Instructions to use dimpo/bert-pretrained-wikitext-2-raw-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dimpo/bert-pretrained-wikitext-2-raw-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dimpo/bert-pretrained-wikitext-2-raw-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dimpo/bert-pretrained-wikitext-2-raw-v1") model = AutoModelForMaskedLM.from_pretrained("dimpo/bert-pretrained-wikitext-2-raw-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26e28069e7d5d054f55679fd70e95eb30cf0764883f234e693cac9e0244710e0
- Size of remote file:
- 440 MB
- SHA256:
- 6cd8811fa28d2c596e5dd98a2f2a0094e446ab3cc0d4feaf2b8328507422f94e
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