Token Classification
Transformers
TensorBoard
Safetensors
qwen2
Generated from Trainer
trl
stepwise-reward-trainer
text-generation-inference
Instructions to use trl-lib/Qwen2-0.5B-Reward-Math-Sheperd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-lib/Qwen2-0.5B-Reward-Math-Sheperd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="trl-lib/Qwen2-0.5B-Reward-Math-Sheperd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("trl-lib/Qwen2-0.5B-Reward-Math-Sheperd") model = AutoModelForTokenClassification.from_pretrained("trl-lib/Qwen2-0.5B-Reward-Math-Sheperd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dc6536c6d42919bc1dbf515b14da97885e349a0a333a17ac7d805bf32f04ced
- Size of remote file:
- 5.5 kB
- SHA256:
- ce152fca9a89385f72cc8cc29776366ffd274a868766e9efd65ffaf0396d98cb
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