messy code

README.md

@@ -58,61 +58,6 @@ inputs = tokenizer(text, return_tensors="pt")
 outputs = model(**inputs)
 ```
 
-OR
-
-```python
-from transformers import LlamaForCausalLM, LlamaTokenizer
-import torch
-
-# Path to your model directory
-model_path = "MetaTrustSig/13b_reasoner"
-
-
-# Load the tokenizer
-tokenizer = LlamaTokenizer.from_pretrained(model_path)
-
-# Add special tokens if they are missing
-if tokenizer.eos_token is None:
-    tokenizer.add_special_tokens({
-        'eos_token': '</s>',
-        'bos_token': '<s>',
-        'unk_token': '<unk>',
-        'pad_token': '<pad>'
-    })
-
-# Load the model with the language modeling head
-model = LlamaForCausalLM.from_pretrained(model_path)
-model.resize_token_embeddings(len(tokenizer))
-
-# Move model to GPU if available
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-model.to(device)
-
-text = "YOUR INPUT"
-
-# Tokenize input and move tensors to the appropriate device
-inputs = tokenizer(text, return_tensors="pt").to(device)
-
-# Generate text
-# You can change the generation config
-generated_outputs = model.generate(
-    input_ids=inputs['input_ids'],
-    attention_mask=inputs['attention_mask'],
-    max_length=1024,
-    do_sample=True,
-    temperature=0.2,
-    top_p=0.9,
-    repetition_penalty=1.1,
-    eos_token_id=tokenizer.eos_token_id,
-)
-
-# Decode the output
-generated_text = tokenizer.decode(generated_outputs[0], skip_special_tokens=True)
-
-print(generated_text)
-
-```
-
 ## Contributing
 
 Contributions to Marvinmw/{13b,34b}_reasoner are welcome! Here's how you can contribute: