Instructions to use spjabech/sentiment_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use spjabech/sentiment_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("gradientai/Llama-3-8B-Instruct-262k") model = PeftModel.from_pretrained(base_model, "spjabech/sentiment_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b478dff3904e28ea8d88060f1b3b5edd8d909237c41913d6dc4ee8829ddc4083
- Size of remote file:
- 4.98 kB
- SHA256:
- 73e26800f7e7ddac787051fce88ff2b0256232f52fc1d15b41c5e52944127ab8
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