Instructions to use Qusaiiii/New_Accountant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qusaiiii/New_Accountant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Qusaiiii/New_Accountant")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Qusaiiii/New_Accountant") model = AutoModelForQuestionAnswering.from_pretrained("Qusaiiii/New_Accountant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb91f7b89ebaf27e2f8e19ad31b147ebbb3b712a5ded962c60fa5f58ee780ba8
- Size of remote file:
- 5.24 kB
- SHA256:
- 53f32960fb58d684db2c4f5dcb39943422735af42a49cce93db7ed4ea1bbc71f
路
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