Instructions to use Sakalti/hotalai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakalti/hotalai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Sakalti/hotalai")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Sakalti/hotalai") model = AutoModel.from_pretrained("Sakalti/hotalai") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9370a89d01c89269a6960befaefc30a085a6893b253041281358c9f8f24b33f2
- Size of remote file:
- 892 MB
- SHA256:
- b9ba328d054560f7cbaf7f0354bea7eee0592be2d8387b0f12662f8dd0852d19
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