Instructions to use Kunalmod/finetuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kunalmod/finetuned-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Kunalmod/finetuned-model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kunalmod/finetuned-model") model = AutoModelForQuestionAnswering.from_pretrained("Kunalmod/finetuned-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfba627020cbcb5279147f0f91a654edb86541df07335ab1e70f309aa7030daf
- Size of remote file:
- 4.54 kB
- SHA256:
- 28b32b5846994db42d6e13fa86e8c891c5bda725e4c5b95baed5e9b615e90e01
路
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