Instructions to use NeilZhong/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeilZhong/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NeilZhong/bert-base-cased-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NeilZhong/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("NeilZhong/bert-base-cased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a78bbf2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ab46cb2e778037a7d417b8b71512f97216787f5655fa2e07e760ec8c31baa009
size 3643
|