Instructions to use Kunalmod/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kunalmod/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Kunalmod/output")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kunalmod/output") model = AutoModelForQuestionAnswering.from_pretrained("Kunalmod/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c6cd7e015e826cdbc2f32c31d9af269521d452ddfe9f34f72a39db4cced73ec
- Size of remote file:
- 5.11 kB
- SHA256:
- 32fab23040db97de01d7f9e45edfebd3704756d7d3babf5bb9ea6229cea9e8fb
路
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