Instructions to use Toadoum/eng_yor_unidirection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Toadoum/eng_yor_unidirection with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-3.3B") model = PeftModel.from_pretrained(base_model, "Toadoum/eng_yor_unidirection") - Transformers
How to use Toadoum/eng_yor_unidirection with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Toadoum/eng_yor_unidirection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7391d03b73e5795e098eebd4d17af905747fbe8616316809da37bdf14be16b0b
- Size of remote file:
- 5.33 kB
- SHA256:
- a6a1e7d599a03d7610cae916bf9c9f36720059461b1235f23cd941ae258eaf4c
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