Instructions to use SzegedAI/bert-tiny5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/bert-tiny5M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SzegedAI/bert-tiny5M")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-tiny5M") model = AutoModel.from_pretrained("SzegedAI/bert-tiny5M") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02812eea68a3c53f633c9752cda35669db7a70abd1c1a7b9a6af5dc5fb27167b
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size 16770784
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