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
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot