Instructions to use ThomasTheMaker/cadmonkey-1b-data-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThomasTheMaker/cadmonkey-1b-data-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ThomasTheMaker/cadmonkey-1b-data-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ThomasTheMaker/cadmonkey-1b-data-4 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 ThomasTheMaker/cadmonkey-1b-data-4 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 ThomasTheMaker/cadmonkey-1b-data-4 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ThomasTheMaker/cadmonkey-1b-data-4 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ThomasTheMaker/cadmonkey-1b-data-4", max_seq_length=2048, )
Upload training_metrics.csv with huggingface_hub
Browse files- training_metrics.csv +0 -0
training_metrics.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|