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
| # 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 | |