Instructions to use nreimers/BERT-Tiny_L-2_H-128_A-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nreimers/BERT-Tiny_L-2_H-128_A-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nreimers/BERT-Tiny_L-2_H-128_A-2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nreimers/BERT-Tiny_L-2_H-128_A-2") model = AutoModel.from_pretrained("nreimers/BERT-Tiny_L-2_H-128_A-2") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lower_case": true, "model_max_length": 512}
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