Text Classification
Transformers
TensorBoard
Safetensors
funnel
Generated from Trainer
Eval Results (legacy)
Instructions to use omerfguzel/emotion_funnel-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omerfguzel/emotion_funnel-transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omerfguzel/emotion_funnel-transformer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omerfguzel/emotion_funnel-transformer") model = AutoModelForSequenceClassification.from_pretrained("omerfguzel/emotion_funnel-transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88516922a3754201a45d9206fc309fec75f747ddeda1e2efb780d2847638917f
- Size of remote file:
- 4.73 kB
- SHA256:
- 7595ecdd9bba16af40cbd77d212953b7c43757310fc2dbe91ac660d0874949e2
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