Instructions to use chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2") model = AutoModelForMultimodalLM.from_pretrained("chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2 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 chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2 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 chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="chinmay-patel-pixis/celeb-fbi-sft-Qwen2-VL-2B-Instruct-bnb-4bit-inches-3epoch-v0.2", max_seq_length=2048, )
- Xet hash:
- 6dabbb3e14757bda6f8e819995e743624dd0d7713a4f8ab66402f262d12e5b0d
- Size of remote file:
- 2.51 GB
- SHA256:
- 0ed19cfa9948b23dde27f1f4a3099091a9e242d83e135a813154740aecf0deb9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.