Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use LysandreJik/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LysandreJik/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LysandreJik/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LysandreJik/testing") model = AutoModelForSequenceClassification.from_pretrained("LysandreJik/testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 309 Bytes
f949bfa 25c3757 f949bfa 25c3757 f949bfa | 1 2 3 4 5 6 7 8 9 10 11 | {
"epoch": 0.0,
"eval_accuracy": 0.6813725490196079,
"eval_combined_score": 0.7459340879208827,
"eval_f1": 0.8104956268221574,
"eval_loss": 0.6643973588943481,
"eval_runtime": 1.3295,
"eval_samples": 408,
"eval_samples_per_second": 306.878,
"eval_steps_per_second": 38.36
} |