Instructions to use devanshdhir/qwen3-flask-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devanshdhir/qwen3-flask-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("devanshdhir/qwen3-flask-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from devanshdhir/qwen3-flask-lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/devanshdhir/qwen3-flask-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://devanshdhir/qwen3-flask-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/devanshdhir/qwen3-flask-lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 65e2e5b005106d6f4b54c8fa377a25fad82c627a0c9a0827587b40e91766737e
- Size of remote file:
- 11.4 MB
- SHA256:
- c760c4e715b8fa39254607191eca619d9b0612d5b29d3002ac512a5b6cad7d55
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