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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/mle-lovingly-2") model = AutoModel.from_pretrained("kejian/mle-lovingly-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 50000
d65bec9 -
Training in progress, step 45000
3e02665 -
Training in progress, step 40000
ea36732 -
Training in progress, step 35000
5034eff
-
Training in progress, step 30000
226956d -
Training in progress, step 25000
2533e8e -
Training in progress, step 20000
30f53b3 -
Training in progress, step 15000
86f2174 -
Training in progress, step 10000
b1d2f60 -
Training in progress, step 5000
e889ed0 -
initial commit
126a418