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:
- 9ddfd58e38fe1f24f9144e45dd49bc0aa0f60e6ccea2d7a438e92d16e3aea908
- Size of remote file:
- 32.2 MB
- SHA256:
- ca9c1a8f115baac9f292390dedd60d039d238a7eb4c10b3f962b2c87062d7e63
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