Instructions to use GiteshUjgaonkar/chatbot-v02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GiteshUjgaonkar/chatbot-v02 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GiteshUjgaonkar/chatbot-v02", device_map="auto") - PEFT
How to use GiteshUjgaonkar/chatbot-v02 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Chatbot-v02 by GiteshUjgaonkar
This is a fine-tuned conversational model using PEFT adapters and a base LLM.
How to Use
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
from peft import PeftModel
base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-rw-1b", trust_remote_code=True)
model = PeftModel.from_pretrained(base_model, "GiteshUjgaonkar/chatbot-v02")
tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-rw-1b")
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
prompt = "<|system|>\nYou are a helpful AI assistant.\n<|user|>\nTell me a joke.\n<|assistant|>\n"
response = pipe(prompt, max_length=200, do_sample=True)[0]["generated_text"]
print(response)
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