Text Classification
Transformers
Safetensors
English
qwen3
text-generation-inference
unsloth
trl
dpo
text-embeddings-inference
Instructions to use fh1628/qwen-dpo-m1-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fh1628/qwen-dpo-m1-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fh1628/qwen-dpo-m1-data")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fh1628/qwen-dpo-m1-data") model = AutoModelForSequenceClassification.from_pretrained("fh1628/qwen-dpo-m1-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from fh1628/qwen-dpo-m1-data: direct link, hf CLI and curl.
- Browser
- Download file 571 Bytes
-
https://huggingface.co/fh1628/qwen-dpo-m1-data/resolve/main/README.md
- Command line
-
hf download hf://fh1628/qwen-dpo-m1-data/README.md
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curl -L -o README.md https://huggingface.co/fh1628/qwen-dpo-m1-data/resolve/main/README.md
571 Bytes
metadata
base_model: unsloth/Qwen3-0.6B-Base
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
- trl
- dpo
license: apache-2.0
language:
- en
Uploaded model
- Developed by: fh1628
- License: apache-2.0
- Finetuned from model : unsloth/Qwen3-0.6B-Base
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
