Instructions to use pranish08/home-assistant-updated_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pranish08/home-assistant-updated_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("pranish08/home-assistant-updated_1") model = AutoModelForMultipleChoice.from_pretrained("pranish08/home-assistant-updated_1") - Notebooks
- Google Colab
- Kaggle
home-assistant-updated_1
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.52.4
- TensorFlow 2.18.0
- Datasets 3.6.0
- Tokenizers 0.21.2
- Downloads last month
- 2
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