Text Classification
Transformers
Safetensors
bert
Generated from Trainer
regression
Eval Results (legacy)
text-embeddings-inference
Instructions to use agentlans/bge-small-en-text-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentlans/bge-small-en-text-quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agentlans/bge-small-en-text-quality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agentlans/bge-small-en-text-quality") model = AutoModelForSequenceClassification.from_pretrained("agentlans/bge-small-en-text-quality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.1175876185297966, | |
| "eval_mse": 0.11758762182878052, | |
| "eval_runtime": 11.4071, | |
| "eval_samples": 20000, | |
| "eval_samples_per_second": 1753.295, | |
| "eval_steps_per_second": 219.162 | |
| } |