Instructions to use Semhal2024/emotion-model2_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Semhal2024/emotion-model2_2 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("xlm-roberta-base") model = PeftModel.from_pretrained(base_model, "Semhal2024/emotion-model2_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06c563c389bc530de06107cd2e5e54fdd49a636eefe731fa34dc64c6b6db18b4
- Size of remote file:
- 5.3 kB
- SHA256:
- 835bff1cce32bb4394cd3064c7799a3fb42e2251c8d65791ef0e2ad75c2ef0fa
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