Text Generation
PEFT
Safetensors
English
lora
multi-agent
collaborative-learning
jca
qwen3
conversational
Instructions to use SJTUFreshman/collaborativelearning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SJTUFreshman/collaborativelearning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "SJTUFreshman/collaborativelearning") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SJTUFreshman/collaborativelearning: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/SJTUFreshman/collaborativelearning/resolve/main/tokenizer.json
- Command line
-
hf download hf://SJTUFreshman/collaborativelearning/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SJTUFreshman/collaborativelearning/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 2a0e6418e5b9d31490e37b19985a2e9de8a11d1b98140d614d3f07a3171832a0
- Size of remote file:
- 11.4 MB
- SHA256:
- 9015c7b9bcc5ac57906c55460048b82b9dfcdef34eb1f781c079da50de99f3d0
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