Instructions to use maxmnd/fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use maxmnd/fine_tuned with Transformers:

# Load model directly
from transformers import AutoTokenizer, PeftModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("maxmnd/fine_tuned")
model = PeftModelForSeq2SeqLM.from_pretrained("maxmnd/fine_tuned", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use maxmnd/fine_tuned 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 maxmnd/fine_tuned 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 maxmnd/fine_tuned to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for maxmnd/fine_tuned to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="maxmnd/fine_tuned",
    max_seq_length=2048,
)

fine_tuned

File size: 61 Bytes

8a4f3b8

transformers==4.45.0
bitsandbytes>=0.39.0
accelerate>=0.12.0