Instructions to use philschmid/Infinity_gpu_MiniLM_L6_H384_uncased_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/Infinity_gpu_MiniLM_L6_H384_uncased_sst2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("philschmid/Infinity_gpu_MiniLM_L6_H384_uncased_sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2233d3b63a8a252f0d3ef157b9a2fdc89703a9f84846c04ed14426296eb4e773
- Size of remote file:
- 46.8 MB
- SHA256:
- 209578f51815cca7a90e0cb795aec89a1752b7fec5bf68a699ced4885c91b27b
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