Instructions to use Rostlab/prot_electra_discriminator_bfd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_electra_discriminator_bfd with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Rostlab/prot_electra_discriminator_bfd") model = AutoModelForPreTraining.from_pretrained("Rostlab/prot_electra_discriminator_bfd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8be0702c5325447072f33cd84dbf3dde10d369e1aefa4864172a5f988afbaff6
- Size of remote file:
- 2.73 GB
- SHA256:
- 6a235cf26a7ff8dcdd8968f229f697c072e538ed24a0b9f97b0f20fb3db23dd0
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