Instructions to use swapwarick/bidcraft-sg-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use swapwarick/bidcraft-sg-adapter with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("swapwarick/bidcraft-sg-adapter", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use swapwarick/bidcraft-sg-adapter 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 swapwarick/bidcraft-sg-adapter 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 swapwarick/bidcraft-sg-adapter to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for swapwarick/bidcraft-sg-adapter to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="swapwarick/bidcraft-sg-adapter",
    max_seq_length=2048,
)

bidcraft-sg-adapter / tokenizer.json

Commit History

Training in progress, step 100

598e9eb
verified

swapwarick commited on May 24

Commit History

Training in progress, step 100 598e9eb verified

Training in progress, step 100

598e9eb
verified