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:
# pip install -U transformers accelerate # 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
Commit History
-
Upload embedding_mixin.py with huggingface_hub
Verified signature0055f02
-
Upload embedding_mixin.py with huggingface_hub
Verified signature102b006
-
Upload embedding_mixin.py with huggingface_hub
Verified signature6d48479
-
Upload embedding_mixin.py with huggingface_hub
Verified signature0f171a1
-
Upload embedding_mixin.py with huggingface_hub
Verified signature74d45b3
-
Upload embedding_mixin.py with huggingface_hub
Verified signature7f961cc