Feature Extraction
Transformers
English
qwen3
text-generation-inference
unsloth
text-embeddings-inference
Instructions to use Zack-Z/qwen3_8bi_cotft_rs0_2_2epo_cot_onlyp_5_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zack-Z/qwen3_8bi_cotft_rs0_2_2epo_cot_onlyp_5_head with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Zack-Z/qwen3_8bi_cotft_rs0_2_2epo_cot_onlyp_5_head")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Zack-Z/qwen3_8bi_cotft_rs0_2_2epo_cot_onlyp_5_head") model = AutoModel.from_pretrained("Zack-Z/qwen3_8bi_cotft_rs0_2_2epo_cot_onlyp_5_head", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: Zack-Z
- License: apache-2.0
- Finetuned from model : unsloth/Qwen3-8B
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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