Instructions to use RiverYou/NLMClass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RiverYou/NLMClass with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RiverYou/NLMClass") model = AutoModelForSeq2SeqLM.from_pretrained("RiverYou/NLMClass", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da9f72f4f9c22c8fb0f1976eff29b47b749c4db74890214a0d3828ce4289b20c
- Size of remote file:
- 1.27 GB
- SHA256:
- f6945e7ef66a619d970369fc6ef8d71f3c960203e413c509805184b87d203ab1
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