Instructions to use lysandre/tiny-bert-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/tiny-bert-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("lysandre/tiny-bert-random") model = AutoModelForPreTraining.from_pretrained("lysandre/tiny-bert-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from lysandre/tiny-bert-random: direct link, hf CLI and curl.
- Browser
- Download file 1.25 MB
-
https://huggingface.co/lysandre/tiny-bert-random/resolve/main/tf_model.h5
- Command line
-
hf download hf://lysandre/tiny-bert-random/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/lysandre/tiny-bert-random/resolve/main/tf_model.h5
1.25 MB
- Xet hash:
- b09647b66366e0d79bbff2be5e0a0fee91dcfbb68452dc7e8cb57b93f831d172
- Size of remote file:
- 1.25 MB
- SHA256:
- 053b88029e572a395991a02210afa72ccb2c9c4e413b96d354cdf1116d48935a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.