Feature Extraction
Transformers
English
qwen3
text-generation-inference
unsloth
text-embeddings-inference
Instructions to use Zack-Z/qwen3_8bi_cotft_rs0_3_2epo_cot_table_1 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_3_2epo_cot_table_1 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_3_2epo_cot_table_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Zack-Z/qwen3_8bi_cotft_rs0_3_2epo_cot_table_1") model = AutoModel.from_pretrained("Zack-Z/qwen3_8bi_cotft_rs0_3_2epo_cot_table_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from Zack-Z/qwen3_8bi_cotft_rs0_3_2epo_cot_table_1: direct link, hf CLI and curl.
- Browser
- Download file 555 Bytes
-
https://huggingface.co/Zack-Z/qwen3_8bi_cotft_rs0_3_2epo_cot_table_1/resolve/fa6ed861613615baa18053a77ff732ff3bf62310/README.md
- Command line
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hf download hf://Zack-Z/qwen3_8bi_cotft_rs0_3_2epo_cot_table_1@fa6ed861613615baa18053a77ff732ff3bf62310/README.md
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curl -L -o README.md https://huggingface.co/Zack-Z/qwen3_8bi_cotft_rs0_3_2epo_cot_table_1/resolve/fa6ed861613615baa18053a77ff732ff3bf62310/README.md
555 Bytes
metadata
base_model: unsloth/Qwen3-8B
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
license: apache-2.0
language:
- en
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.
