CHATPRG
Collection
Pre-trained model to make known to students and external people the regulations of the Pedro Ruiz Gallo National University of Lambayeque, Peru. • 6 items • Updated • 1
How to use jhangmez/CHATPRG-v1.2-Phi-3.5-mini-instruct-lora-adapters with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("jhangmez/CHATPRG-v1.2-Phi-3.5-mini-instruct-lora-adapters", dtype="auto")How to use jhangmez/CHATPRG-v1.2-Phi-3.5-mini-instruct-lora-adapters 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 jhangmez/CHATPRG-v1.2-Phi-3.5-mini-instruct-lora-adapters 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 jhangmez/CHATPRG-v1.2-Phi-3.5-mini-instruct-lora-adapters to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jhangmez/CHATPRG-v1.2-Phi-3.5-mini-instruct-lora-adapters to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="jhangmez/CHATPRG-v1.2-Phi-3.5-mini-instruct-lora-adapters",
max_seq_length=2048,
)This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.