Instructions to use Mahdi721/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahdi721/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Mahdi721/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Mahdi721/test-trainer") model = AutoModelForQuestionAnswering.from_pretrained("Mahdi721/test-trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98f8155adb1ad738c4b8a25cd4a6779c06cd78f4f10ec57e5840f1d59df12ac8
- Size of remote file:
- 496 MB
- SHA256:
- fca385e221130426b724ebcff7798d0bddcdbbc985aa6344493edbb57695ed34
路
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