Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jordyvl/test_implementation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jordyvl/test_implementation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jordyvl/test_implementation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jordyvl/test_implementation") model = AutoModelForSequenceClassification.from_pretrained("jordyvl/test_implementation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 0.0, | |
| "train_loss": 0.6939175128936768, | |
| "train_runtime": 320.713, | |
| "train_samples_per_second": 0.249, | |
| "train_steps_per_second": 0.031 | |
| } |