Instructions to use aajrami/bert-rand-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aajrami/bert-rand-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aajrami/bert-rand-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aajrami/bert-rand-small") model = AutoModel.from_pretrained("aajrami/bert-rand-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (bc0d02f138693a8da7d48564e3677990e130f48f) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>e252c8c
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Update tokenizer_config.json
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add tokenizer
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