Token Classification
Transformers
TensorBoard
Safetensors
qwen2
Generated from Trainer
trl
stepwise-reward-trainer
text-generation-inference
Instructions to use trl-archive/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-archive/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-archive/Qwen2-0.5B-Reward-Math-Sheperd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("trl-archive/Qwen2-0.5B-Reward-Math-Sheperd") model = AutoModelForTokenClassification.from_pretrained("trl-archive/Qwen2-0.5B-Reward-Math-Sheperd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from trl-archive/Qwen2-0.5B-Reward-Math-Sheperd: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/trl-archive/Qwen2-0.5B-Reward-Math-Sheperd/resolve/main/tokenizer.json
- Command line
-
hf download hf://trl-archive/Qwen2-0.5B-Reward-Math-Sheperd/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/trl-archive/Qwen2-0.5B-Reward-Math-Sheperd/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 31d19fffde1c78260dd5b32b98e51dd8adefae216e6eefbcb299f56f4b977337
- Size of remote file:
- 11.4 MB
- SHA256:
- bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
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