Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
text-generation-inference
Instructions to use alothomas/Qwen2.5-3B-PRM-RAD-balanced-150k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alothomas/Qwen2.5-3B-PRM-RAD-balanced-150k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alothomas/Qwen2.5-3B-PRM-RAD-balanced-150k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alothomas/Qwen2.5-3B-PRM-RAD-balanced-150k") model = AutoModelForTokenClassification.from_pretrained("alothomas/Qwen2.5-3B-PRM-RAD-balanced-150k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Final model commit after training
Verified signaturedc4a367 -
Training in progress, step 6288
Verified signaturea7caf6f -
Training in progress, step 6000
Verified signature34cbfbd -
Training in progress, step 5500
Verified signature89c95a4 -
Training in progress, step 5000
Verified signature1b834ad -
Training in progress, step 4500
Verified signatured828fd8 -
Training in progress, step 4000
Verified signaturedcc6b2e -
Training in progress, step 3500
Verified signaturec745765 -
Training in progress, step 3000
Verified signature50072a6 -
Training in progress, step 2500
Verified signature802644e -
Training in progress, step 2000
Verified signatureb6a8574 -
Training in progress, step 1500
Verified signature58309b9 -
Training in progress, step 1000
Verified signatureb68967f
-
Training in progress, step 500
Verified signatured3fdc70 -
initial commit
Verified signature38a345b