Transformers
Safetensors
t5
text2text-generation
protein-language-model
fastplms
custom_code
text-generation-inference
Instructions to use Synthyra/ANKH2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ANKH2_large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Synthyra/ANKH2_large", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("Synthyra/ANKH2_large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9dff9ae5ab33dccf7bff0607cb3b52071c9e740d6ddf7e7b503d381b7867b3a
- Size of remote file:
- 2.18 GB
- SHA256:
- f3d425d3e8741ccbdd925446559a9bf317c2c91e328f2eee44924423b56e3a3d
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