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
- Xet hash:
- bd7142c7fc2c846487b03556dd24ac52e2fa25d0579e7c358ad80af08c28d951
- Size of remote file:
- 5.2 kB
- SHA256:
- 3d8dd202ded227543427b2893c75589574e6a44546b0deeef2de35e337715c16
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