Instructions to use vumichien/tiny-albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vumichien/tiny-albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vumichien/tiny-albert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vumichien/tiny-albert") model = AutoModelForTokenClassification.from_pretrained("vumichien/tiny-albert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from vumichien/tiny-albert: direct link, hf CLI and curl.
- Browser
- Download file 1.45 MB
-
https://huggingface.co/vumichien/tiny-albert/resolve/main/tf_model.h5
- Command line
-
hf download hf://vumichien/tiny-albert/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/vumichien/tiny-albert/resolve/main/tf_model.h5
1.45 MB
- Xet hash:
- d5bcbe2ab03c61ed2ec3faeddebbba3e710e5d18ac8ce95b66d4a17e1dfa37b6
- Size of remote file:
- 1.45 MB
- SHA256:
- cb07469c10c18cac62dbc4fa28154969b3b2436421bea8ad4b5914aa13cced0a
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