maifeeulasad/askubuntu-data
Viewer • Updated • 414k • 65
How to use maifeeulasad/askubuntu-model with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("maifeeulasad/askubuntu-model")
model = AutoModelForSeq2SeqLM.from_pretrained("maifeeulasad/askubuntu-model")How to use maifeeulasad/askubuntu-model 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 maifeeulasad/askubuntu-model 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 maifeeulasad/askubuntu-model to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for maifeeulasad/askubuntu-model to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="maifeeulasad/askubuntu-model",
max_seq_length=2048,
)This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B.
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
base_model_id = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
peft_model_id = "maifeeulasad/askubuntu-model"
model = AutoModelForCausalLM.from_pretrained(
base_model_id,
device_map="auto",
trust_remote_code=True,
)
model = PeftModel.from_pretrained(model, peft_model_id)
tokenizer = AutoTokenizer.from_pretrained(base_model_id)
from transformers import pipeline
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
question = "Tell me how to install rootless docker on ubuntu 18 LTS?"
output = generator(question, max_new_tokens=16384, return_full_text=False)[0]["generated_text"]
print(output)
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B