Transformers
Safetensors
t5
text2text-generation
protein-language-model
fastplms
custom_code
text-generation-inference
Instructions to use Synthyra/ANKH_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ANKH_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Synthyra/ANKH_base", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("Synthyra/ANKH_base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 265 Bytes
d2b84ea | 1 2 3 4 5 6 7 8 9 10 11 | # Direct runtime dependencies for Synthyra/ANKH_base. # FastPLMs source is embedded in this model repository. torch>=2.13,<2.14 transformers>=5.13,<5.14 huggingface-hub>=0.34,<2 tokenizers>=0.22,<0.23 safetensors>=0.5,<1 numpy>=1.26,<3 einops>=0.8,<1 tqdm>=4.67,<5 |