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:
- d546c038138de6a048379addf15b68dc437555fb57160a1d044c52cd4e496113
- Size of remote file:
- 4.03 kB
- SHA256:
- c0dc56397697640a614a60e3d28172a14fed90b28f2855b7b414165823e7515d
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