Instructions to use vishnukk33/Normal_MiniLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnukk33/Normal_MiniLM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("vishnukk33/Normal_MiniLM") model = AutoModelForPreTraining.from_pretrained("vishnukk33/Normal_MiniLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d74f703f3170a5bc372062af3564648a75bc95665dd6a4e2750de3c114f40b7c
- Size of remote file:
- 54.5 MB
- SHA256:
- 0a8f45863f2a55b0ad43fe769fde550cbc0c02d9e27e6a3505060086556a9e61
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