Instructions to use scott156/LEDBaseNSPCCV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scott156/LEDBaseNSPCCV1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("scott156/LEDBaseNSPCCV1") model = AutoModelForMultimodalLM.from_pretrained("scott156/LEDBaseNSPCCV1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d4a3a946ebaec7b04442a6850484416afb4c75c5137306ddef303cf7393ce0f
- Size of remote file:
- 5.05 kB
- SHA256:
- 62a395ac6b59ae52a4797c20edb38f86341044f767f250d1e6847ee0026d7b69
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