Instructions to use dani0f/quant_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dani0f/quant_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dani0f/quant_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dani0f/quant_bert") model = AutoModelForMaskedLM.from_pretrained("dani0f/quant_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d340ea2a4f39841bb35b9d0a75ad354401d33891dbf7210a9dd59641d5b99257
- Size of remote file:
- 438 MB
- SHA256:
- 9f72112c7524e3a667c6cce07884b0fb1e1a61d75af0a72bad582c18c6cc5aaf
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