Instructions to use arrafmousa/final_argument_manager with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arrafmousa/final_argument_manager with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="arrafmousa/final_argument_manager")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("arrafmousa/final_argument_manager") model = AutoModelForQuestionAnswering.from_pretrained("arrafmousa/final_argument_manager") - Notebooks
- Google Colab
- Kaggle
Commit 路
0e56b6c
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Parent(s): 5967c7c
Training in progress, epoch 10
Browse files
pytorch_model.bin
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runs/May16_12-27-50_Mousas-PC/events.out.tfevents.1684229274.Mousas-PC.23608.0
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