Instructions to use Amani27/final_exp_v2_with_postproc_weakdap_r2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amani27/final_exp_v2_with_postproc_weakdap_r2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Amani27/final_exp_v2_with_postproc_weakdap_r2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Amani27/final_exp_v2_with_postproc_weakdap_r2") model = AutoModelForQuestionAnswering.from_pretrained("Amani27/final_exp_v2_with_postproc_weakdap_r2") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 4 {'exact_match': 76.49952696310312, 'f1': 84.60124763135279}
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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