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:
- 55c473adc79b3c23c2cfb685ce953eb99b684493ab6216f7a193ae90ad0f9da1
- Size of remote file:
- 438 MB
- SHA256:
- 8400f6450bd2650cc28e881d3ac26282e242a7dae52b32a5887bc96f48132838
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