Instructions to use abrhaleitela/TigXLNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abrhaleitela/TigXLNet with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abrhaleitela/TigXLNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a7da64421ca217af774e9952a0818d417361f13a4292ca03795ca5dd7fb3ca4
- Size of remote file:
- 439 MB
- SHA256:
- 0c7f0989ba8b21da0124a4f009184c877799caca7495f3b0e972b8f717e32bca
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