Instructions to use Akash7897/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akash7897/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Akash7897/bert-base-cased-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Akash7897/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("Akash7897/bert-base-cased-wikitext2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e82e710c5ca59917c3843f3da218adb05f95a124e21c3d698ec71571b3eeb12f
- Size of remote file:
- 433 MB
- SHA256:
- 313474808460574f989e5881f484d1a5847d2cefc83e5970703107f2a97b5aa3
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