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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_1600") model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_1600", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from AI4Protein/deep_bpe_1600: direct link, hf CLI and curl.
- Browser
- Download file 173 Bytes
-
https://huggingface.co/AI4Protein/deep_bpe_1600/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://AI4Protein/deep_bpe_1600/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/AI4Protein/deep_bpe_1600/resolve/main/special_tokens_map.json
173 Bytes
| { | |
| "bos_token": "<cls>", | |
| "cls_token": "<cls>", | |
| "eos_token": "<sep>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "sep_token": "<sep>", | |
| "unk_token": "<unk>" | |
| } | |