Instructions to use Amani27/final_exp_v2_without_pp_weakdap_r1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amani27/final_exp_v2_without_pp_weakdap_r1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Amani27/final_exp_v2_without_pp_weakdap_r1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Amani27/final_exp_v2_without_pp_weakdap_r1") model = AutoModelForQuestionAnswering.from_pretrained("Amani27/final_exp_v2_without_pp_weakdap_r1") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 3 {'exact_match': 75.12771996215704, 'f1': 83.85141346353868}
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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