Instructions to use avuhong/ESM1b_libcapv3_regression_run2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avuhong/ESM1b_libcapv3_regression_run2 with Transformers:
# Load model directly from transformers import AutoTokenizer, ESM1bForRegression tokenizer = AutoTokenizer.from_pretrained("avuhong/ESM1b_libcapv3_regression_run2") model = ESM1bForRegression.from_pretrained("avuhong/ESM1b_libcapv3_regression_run2") - Notebooks
- Google Colab
- Kaggle
Quick Links
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Check out the documentation for more information.
Epoch Training Loss Validation Loss Mse Rmse Mae R2 1 1.592900 1.618959 1.618959 1.272383 0.807994 0.222083 2 1.547400 1.584446 1.584446 1.258748 0.783680 0.238667 3 1.470800 1.593225 1.593225 1.262230 0.772598 0.234448 4 1.418500 1.417212 1.417212 1.190467 0.755947 0.319023 5 1.348600 1.350606 1.350606 1.162156 0.733652 0.351028 6 1.274200 1.318531 1.318531 1.148273 0.716024 0.366440
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# Load model directly from transformers import AutoTokenizer, ESM1bForRegression tokenizer = AutoTokenizer.from_pretrained("avuhong/ESM1b_libcapv3_regression_run2") model = ESM1bForRegression.from_pretrained("avuhong/ESM1b_libcapv3_regression_run2")