Instructions to use arefaste/1c_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arefaste/1c_new with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arefaste/1c_new", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use arefaste/1c_new 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 arefaste/1c_new 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 arefaste/1c_new to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for arefaste/1c_new to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="arefaste/1c_new", max_seq_length=2048, )
- Xet hash:
- dd8ad1cb8f9aae7bd46dbf242066c748c8057be6d4b9a5829199877ebc3e5200
- Size of remote file:
- 162 MB
- SHA256:
- 2e2a5c8d0864770b3381a7a1986729146f3e760c6144145f3c4bdd132607d2e9
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