Instructions to use dnagpt/dnagpt_unigram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnagpt/dnagpt_unigram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dnagpt/dnagpt_unigram")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dnagpt/dnagpt_unigram") model = AutoModel.from_pretrained("dnagpt/dnagpt_unigram", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from dnagpt/dnagpt_unigram: direct link, hf CLI and curl.
- Browser
- Download file 170 Bytes
-
https://huggingface.co/dnagpt/dnagpt_unigram/resolve/9687f15c963e2ea214a2f80055a90d15e7e94f5d/special_tokens_map.json
- Command line
-
hf download hf://dnagpt/dnagpt_unigram@9687f15c963e2ea214a2f80055a90d15e7e94f5d/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/dnagpt/dnagpt_unigram/resolve/9687f15c963e2ea214a2f80055a90d15e7e94f5d/special_tokens_map.json
170 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<cls>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "sep_token": "<sep>", | |
| "unk_token": "<unk>" | |
| } | |