Instructions to use mcurmei/flat_N_max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcurmei/flat_N_max with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mcurmei/flat_N_max")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mcurmei/flat_N_max") model = AutoModelForQuestionAnswering.from_pretrained("mcurmei/flat_N_max", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/May11_02-15-59_4eb494818909/events.out.tfevents.1652235479.4eb494818909.559.2
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