Cisco Network Configuration Model (16-bit)
Fine-tuned TinyLlama model for Cisco network configuration tasks.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Renugadevi82/cisco-nx-ai-16bit")
tokenizer = AutoTokenizer.from_pretrained("Renugadevi82/cisco-nx-ai-16bit")
prompt = "Configure VLAN 100 with name Management"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
- Downloads last month
- 10
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support