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 model.safetensors from dnagpt/dnagpt_unigram: direct link, hf CLI and curl.
- Browser
- Download file 497 MB
-
https://huggingface.co/dnagpt/dnagpt_unigram/resolve/9687f15c963e2ea214a2f80055a90d15e7e94f5d/model.safetensors
- Command line
-
hf download hf://dnagpt/dnagpt_unigram@9687f15c963e2ea214a2f80055a90d15e7e94f5d/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dnagpt/dnagpt_unigram/resolve/9687f15c963e2ea214a2f80055a90d15e7e94f5d/model.safetensors
497 MB
- Xet hash:
- 0e02ea5d9e8029718717812993e22d06fa1124a0d9bcc959e8481a1bce9469fb
- Size of remote file:
- 497 MB
- SHA256:
- 0ad35c966680c1af2c452b0fbd5b0f6e6587a07894ce8330662b0fda1cbc90b3
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