Reinforcement Learning
Transformers
Safetensors
qwen3
text-generation
search-r1
lora
merged
text-generation-inference
Instructions to use willamazon1/sdft-search-lora-iter160 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use willamazon1/sdft-search-lora-iter160 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("willamazon1/sdft-search-lora-iter160") model = AutoModelForCausalLM.from_pretrained("willamazon1/sdft-search-lora-iter160", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from willamazon1/sdft-search-lora-iter160: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/willamazon1/sdft-search-lora-iter160/resolve/main/tokenizer.json
- Command line
-
hf download hf://willamazon1/sdft-search-lora-iter160/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/willamazon1/sdft-search-lora-iter160/resolve/main/tokenizer.json
7.03 MB
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