Instructions to use kejian/mle-lovingly-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/mle-lovingly-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/mle-lovingly-2") model = AutoModel.from_pretrained("kejian/mle-lovingly-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a2bb458a872e52ecd8b854a370467452752b6a61beaf005823e813ac09558a9
- Size of remote file:
- 3.45 kB
- SHA256:
- be019ced717edb516e3b10213866860484f2c76f2ba7222d86c25dfa79a58391
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