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Cognitivess Model

Usage

To use this model, first install the custom package:

# Install required packages
!pip install git+https://huggingface.co/CognitivessAI/cognitivess

Then, you can use the model like this:


from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_id = "CognitivessAI/cognitivess"

# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_id)

# Load the model
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float32,
    device_map="auto"
)

messages = [
    {"role": "user", "content": "Explain how large language models work in detail."},
]

input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)

outputs = model.generate(
    input_ids,
    do_sample=True,
    temperature=0.5,
    max_new_tokens=1024
)

response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))