Text Generation
Transformers
TensorBoard
Safetensors
PEFT
Trained with AutoTrain
text-generation-inference
conversational
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("MadKFC/CPsyCode", dtype="auto")Quick Links
Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Usage
from transformers import pipeline
pipe = pipeline("text-generation", "MadKFC/CPsyCode",device_map="auto")
messages = [
{"role": "user", "content": "I'm stupid!"},
{'role': "assistant", "content": "I'm so sorry to hear you're feeling that way! It's completely normal to have moments where we doubt ourselves or feel uncertain. But here's the thing: being 'stupid' is not a fact, it's an opinion. And opinions are subjective and can be influenced by many factors, including our own self-talk and the opinions of other\n\ns.You are not stupid. You are capable, unique, and deserving of kindness and compassion - from yourself and others. It's okay to make mistakes, and it's okay to not know something. That's how we learn and grow!\n\nWould you like to talk about what's going on"},
{"role": "user", "content": "I make a big mistake in the lab"},
]
answer = pipe(messages)
# Print the assistant's response
print(answer[0]['generated_text'][-1])
Model tree for MadKFC/CPsyCode
Base model
meta-llama/Meta-Llama-3-8B-Instruct
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MadKFC/CPsyCode") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)