Sourabh2 / Chemistry_elements

How to Load and Use the Model

To use the model:

1. Install required libraries: torch and transformers
2. Use the following code:

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Sourabh2/Chemistry_elements", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Sourabh2/Chemistry_elements", trust_remote_code=True)
# Set up the device (GPU if available, otherwise CPU)
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = model.to(device)
# Example usage
messages = [
    {
        "role": "user",
        "content": "hydrogen"
    }
]
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(prompt, return_tensors='pt', padding=True, truncation=True)
outputs = model.generate(**inputs, max_length=150, num_return_sequences=1)
text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(text.split("assistant")[1])
# Decode and print output
['Symbol: H', 'Atomic_Number: 1', 'Atomic_Weight: 1.008', 'Density: 0.0899', 'Melting_Point: 14.01', 'Boiling_Point: 20.28', 'Phase: Gas', 'Absolute_Melting_Point: 14.01']