Instructions to use fgua/bert-base-uncased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fgua/bert-base-uncased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fgua/bert-base-uncased-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fgua/bert-base-uncased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("fgua/bert-base-uncased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from fgua/bert-base-uncased-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/fgua/bert-base-uncased-wikitext2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://fgua/bert-base-uncased-wikitext2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fgua/bert-base-uncased-wikitext2/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 8b0ca30394ae1f6d6dc39cb65c5432ca3521fd99517ce02f254888af655fb125
- Size of remote file:
- 438 MB
- SHA256:
- 9a4f119b9076b59b22da99914edd82b58b1d428861abe4f5f2b0f6cc262206d8
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