Instructions to use dung1308/RM_system_not_mixed__NLP_model_90_10_CPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dung1308/RM_system_not_mixed__NLP_model_90_10_CPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dung1308/RM_system_not_mixed__NLP_model_90_10_CPU")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dung1308/RM_system_not_mixed__NLP_model_90_10_CPU") model = AutoModelForMaskedLM.from_pretrained("dung1308/RM_system_not_mixed__NLP_model_90_10_CPU") - Notebooks
- Google Colab
- Kaggle
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