Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Lupakisyo/Fai1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lupakisyo/Fai1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lupakisyo/Fai1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lupakisyo/Fai1") model = AutoModelForSequenceClassification.from_pretrained("Lupakisyo/Fai1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 1.0608001947402954
f1_macro: 0.27777777777777773
f1_micro: 0.4
f1_weighted: 0.3416666666666667
precision_macro: 0.26666666666666666
precision_micro: 0.4
precision_weighted: 0.32
recall_macro: 0.31746031746031744
recall_micro: 0.4
recall_weighted: 0.4
accuracy: 0.4
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