Instructions to use xwjzds/pretrain_rnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xwjzds/pretrain_rnn with Transformers:
# Load model directly from transformers import AutoTokenizer, Net tokenizer = AutoTokenizer.from_pretrained("xwjzds/pretrain_rnn") model = Net.from_pretrained("xwjzds/pretrain_rnn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4ff4b271122124559e790ac92af5b784a3db6e49c6eff4ff0f24a18c223f615
- Size of remote file:
- 519 MB
- SHA256:
- 96636e77f4df5a7d16844ca6bfd1bf8b0f4b36e3c7a2b2878a041f7f35eb33d3
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