Prathamops
Collection
A series of Gemma 3n and Gemma 3 finetuned models and dataset for on-device first aid assistance. • 13 items • Updated • 1
How to use viveksil/prathamops-hi-E2B with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("viveksil/prathamops-hi-E2B", dtype="auto")How to use viveksil/prathamops-hi-E2B with Unsloth Studio:
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 viveksil/prathamops-hi-E2B to start chatting
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 viveksil/prathamops-hi-E2B to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for viveksil/prathamops-hi-E2B to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="viveksil/prathamops-hi-E2B",
max_seq_length=2048,
)This gemma3n model was trained 2x faster with Unsloth and Huggingface's TRL library.