Instructions to use Tuliosil/SemioSentiment_MoA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tuliosil/SemioSentiment_MoA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Tuliosil/SemioSentiment_MoA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b44800a07bf9e7f1c6fe78694df65b358fdc1d9f51e473fd26bc583ff8d6289e
- Size of remote file:
- 168 MB
- SHA256:
- ec470148e5fbb7e12eb9f26ff5b2c4fc7983bbc8b211db0e3e49a09fe8fc9beb
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