Sourabh2/Chemical_compund

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/Chemical_compund", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Sourabh2/Chemical_compund", 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)



input_str = "Nobelium".lower()
input_ids = tokenizer.encode(input_str, return_tensors='pt').to(device)

output = model.generate(
    input_ids,
    max_length=200,
    num_return_sequences=1,
    do_sample=True,
    top_k=8,
    top_p=0.95,
    temperature=0.1,
    repetition_penalty=1.2
)

decoded_output = tokenizer.decode(output[0], skip_special_tokens=True)
print(decoded_output)