Instructions to use lyeonii/bert-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyeonii/bert-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lyeonii/bert-mini")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lyeonii/bert-mini") model = AutoModel.from_pretrained("lyeonii/bert-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1632f100360fd1c48aaa6022f998fed0e8067e6cd022abb3a73ebe6e1bb099b1
- Size of remote file:
- 44.7 MB
- SHA256:
- a2a1dfc473fbdf98e7358ddc3a38d08badd2743be6b5af9382309a64fbcec291
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