Text Generation
Safetensors
Hindi
Sanskrit
llama
poetry
hindi
sanskrit
anuṣṭubh
lora
unsloth
conversational
Instructions to use sanganaka/phi4-hindi2sanskrit-anustubh-lora-merged-step3400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use sanganaka/phi4-hindi2sanskrit-anustubh-lora-merged-step3400 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 sanganaka/phi4-hindi2sanskrit-anustubh-lora-merged-step3400 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 sanganaka/phi4-hindi2sanskrit-anustubh-lora-merged-step3400 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for sanganaka/phi4-hindi2sanskrit-anustubh-lora-merged-step3400 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="sanganaka/phi4-hindi2sanskrit-anustubh-lora-merged-step3400", max_seq_length=2048, )
- Xet hash:
- aacc7bf1891bd246224e169361126747095a12ccd18cc60bedd2a14dea49f0ba
- Size of remote file:
- 29.3 GB
- SHA256:
- 040ff54851e02b5573d38a58d14a20c431cff2e0c0c8e6af626b06771259e2ef
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