PEFT
Safetensors
Hausa
Yoruba
Swahili
gpt_oss
sentiment-analysis
african-languages
lora
autoscientist-challenge
Instructions to use gospelgit/African-Languages-Sentiment-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gospelgit/African-Languages-Sentiment-Classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/gpt-oss-20b-bf16") model = PeftModel.from_pretrained(base_model, "gospelgit/African-Languages-Sentiment-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f06b20398cca974267e27a06475136aa9c97ea570eaabc7df59438fd85e04fd5
- Size of remote file:
- 1.07 GB
- SHA256:
- c81f15d12a1608e02d349aa9ae20aff30477b4e44d225bb173ae9a9648df6357
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