Instructions to use ZurabDz/smaller_albert_base_geo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZurabDz/smaller_albert_base_geo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZurabDz/smaller_albert_base_geo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZurabDz/smaller_albert_base_geo") model = AutoModelForMaskedLM.from_pretrained("ZurabDz/smaller_albert_base_geo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ZurabDz/smaller_albert_base_geo: direct link, hf CLI and curl.
- Browser
- Download file 11.2 MB
-
https://huggingface.co/ZurabDz/smaller_albert_base_geo/resolve/main/optimizer.pt
- Command line
-
hf download hf://ZurabDz/smaller_albert_base_geo/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ZurabDz/smaller_albert_base_geo/resolve/main/optimizer.pt
11.2 MB
- Xet hash:
- 826eb2fea7ed6b1b0c9234aa76188615290f74d5243a7d86f779444183e38176
- Size of remote file:
- 11.2 MB
- SHA256:
- 1875f0dc76db8717f7a2ebbdf55b28259425b5ec418cf9a61e01ccfc78df1b62
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