Instructions to use google/mobilebert-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mobilebert-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/mobilebert-uncased") model = AutoModelForPreTraining.from_pretrained("google/mobilebert-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/mobilebert-uncased: direct link, hf CLI and curl.
- Browser
- Download file 147 MB
-
https://huggingface.co/google/mobilebert-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/mobilebert-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/mobilebert-uncased/resolve/main/pytorch_model.bin
147 MB
- Xet hash:
- fc8a045157fa296041a94339a2e2eefc596450ea87b8d79e88d33d8d52124817
- Size of remote file:
- 147 MB
- SHA256:
- e3468adf28d7c30a6105f8704d199510c7c238484f2fe0fa9b6242b5b0e6a53c
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