Instructions to use dangmanh1811/lora_8_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dangmanh1811/lora_8_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dangmanh1811/lora_8_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from dangmanh1811/lora_8_model: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/dangmanh1811/lora_8_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://dangmanh1811/lora_8_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dangmanh1811/lora_8_model/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 6375667439eeeda7abe574fd03e4aff06e97c7a4b26b289960b291231de382a1
- Size of remote file:
- 11.4 MB
- SHA256:
- 93d5fd6d2f8cf1172ac86cf982e2b88fa6732366b44dc1a32349379a54a6a044
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