Instructions to use samadpls/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samadpls/sentiment-analysis with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") model = PeftModel.from_pretrained(base_model, "samadpls/sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50f77aa52089885936cd8fb0ea96584d2c4e2148d2209b95929303bb31af28d3
- Size of remote file:
- 2.52 MB
- SHA256:
- d503f5fa14353c6288436cad94f221f19cb26089d999d6d42a9cf9b32eb42857
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