Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use FFZG-cleopatra/M2SA-text-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FFZG-cleopatra/M2SA-text-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FFZG-cleopatra/M2SA-text-only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FFZG-cleopatra/M2SA-text-only") model = AutoModelForSequenceClassification.from_pretrained("FFZG-cleopatra/M2SA-text-only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.79, | |
| "test_f1": 0.6309333302387673, | |
| "test_loss": 0.6790701746940613, | |
| "test_precision": 0.6301019352201087, | |
| "test_recall": 0.6496975678367595, | |
| "test_runtime": 36.8059, | |
| "test_samples_per_second": 246.645, | |
| "test_steps_per_second": 15.432 | |
| } |