Instructions to use Chae/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chae/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Chae/results")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Chae/results") model = AutoModelForQuestionAnswering.from_pretrained("Chae/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ab557d2ad6040ecc0b50a9748ec231b70406917d964d136f5b3af80984ea31b
- Size of remote file:
- 4.54 kB
- SHA256:
- 3f55c8c049d336fd99cf5015754ae60081d16baec0f7818534ede6008e5a6d8d
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