Instructions to use deadcode99/checkpoint-20_mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deadcode99/checkpoint-20_mixed with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deadcode99/checkpoint-20_mixed", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use deadcode99/checkpoint-20_mixed with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for deadcode99/checkpoint-20_mixed to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for deadcode99/checkpoint-20_mixed to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for deadcode99/checkpoint-20_mixed to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="deadcode99/checkpoint-20_mixed", max_seq_length=2048, )
- Xet hash:
- e78c4780d44356652d94cc7c39136ac78f2687d242c8be8ca9c159bf9301240a
- Size of remote file:
- 323 MB
- SHA256:
- 73c577306fbfa9eccd02f8c2a2f6f954f7e6cc1e29c250a16abb7cc9dffd72a6
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