Instructions to use AiresPucrs/bert-base-wikitext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AiresPucrs/bert-base-wikitext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AiresPucrs/bert-base-wikitext")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AiresPucrs/bert-base-wikitext") model = AutoModelForMaskedLM.from_pretrained("AiresPucrs/bert-base-wikitext") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3bdea5efa8a3d704df269f51cebbb170b2ddacc0eb7394bb89c7b11b94a8ec3
- Size of remote file:
- 3.38 kB
- SHA256:
- 0014fbdd3e05e6adc2608f18151530bddb519019e28d69c02646213b805ae0f8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.