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
File size: 229 Bytes
da2db33 | 1 2 3 4 5 6 7 8 9 | {
"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
} |