Instructions to use AI4Protein/deep_bpe_1600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/deep_bpe_1600 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AI4Protein/deep_bpe_1600")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_1600") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_1600") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
752b92d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7ce64d69bf034b0d6a80cdc1f73bab9c35672ea40a7845f2db7168607363c424
size 347849845
|