Instructions to use ahmadmwali/afriteva_base_Hausa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahmadmwali/afriteva_base_Hausa with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_base") model = PeftModel.from_pretrained(base_model, "ahmadmwali/afriteva_base_Hausa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3ef5ee25af77923f690894bc5288ec361b1955c20cdb1ca073346d297790dc9
- Size of remote file:
- 2.62 MB
- SHA256:
- 68ed510b5f2b0d7db5a64276a977786869cf19c0cc3ae27c7f8db5a051c537c2
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