Instructions to use Tippawan/proofread_v1_sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tippawan/proofread_v1_sample with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tippawan/proofread_v1_sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Tippawan/proofread_v1_sample 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 Tippawan/proofread_v1_sample 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 Tippawan/proofread_v1_sample to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Tippawan/proofread_v1_sample to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Tippawan/proofread_v1_sample", max_seq_length=2048, )
- Xet hash:
- 5ddbea146e53bb29b5b80ee38e88436e6d7b52e763dd05cdbaad46ccc502c7ba
- Size of remote file:
- 73.9 MB
- SHA256:
- c2b9d9fa494a35acaa1cf8c9bcf51367aa21996cec4104d01d0d253a54cc71f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.