Instructions to use AyoubChLin/bert_wikitext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/bert_wikitext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AyoubChLin/bert_wikitext")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/bert_wikitext") model = AutoModelForMaskedLM.from_pretrained("AyoubChLin/bert_wikitext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 372c9ca1e31bb5855438693f45437021ca8c17e48d8b07306f4e30c171896c70
- Size of remote file:
- 5.11 kB
- SHA256:
- e470f6cc23575dd2420548e3e896d9e7e927bbac4e17b29b06ed043100a822ed
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