Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use lapa-llm/alignment-score-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lapa-llm/alignment-score-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lapa-llm/alignment-score-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lapa-llm/alignment-score-model") model = AutoModelForSequenceClassification.from_pretrained("lapa-llm/alignment-score-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
Verified signature69e9e72 -
Model save
Verified signature5f525ed -
Model save
Verified signaturec3cf643 -
Model save
Verified signaturecbbe634 -
Model save
Verified signatureb07b4c7 -
Training in progress, epoch 1
Verified signatured9d7f01 -
Model save
Verified signatureff02fc7 -
Model save
Verified signature02eff5f -
Model save
Verified signature11d7e0a -
Model save
Verified signaturebe504c2 -
Model save
Verified signaturef112c0b -
Model save
Verified signaturecd6f059 -
Model save
Verified signaturea3a147e -
Model save
Verified signature83f809d -
Model save
Verified signatureb093989 -
Model save
Verified signature5eabaac