Instructions to use aajrami/bert-sr-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aajrami/bert-sr-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aajrami/bert-sr-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aajrami/bert-sr-small") model = AutoModel.from_pretrained("aajrami/bert-sr-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 621e7c05a85c6b8e1370875ad3116c917587561eab4802a6dc105e26c804e25e
- Size of remote file:
- 156 MB
- SHA256:
- f911859e0bf86381f3c383e7ee7eda549f41bfa0e9f3ae1eb356ae8b588b715e
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