Instructions to use kejian/final-mle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/final-mle with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/final-mle") model = AutoModel.from_pretrained("kejian/final-mle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 151c221bcf64cfd06ec9f7640ae1b309cccab2b1ebfa5751fbeb43a51352aa4e
- Size of remote file:
- 3.39 kB
- SHA256:
- 174eaa19e738418d843d4019d885fc957533f9e6e73ab1fa29988c5895e2df74
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