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README.md
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base_model:
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- google/gemma-2-2b-it
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pipeline_tag: text-generation
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base_model:
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- google/gemma-2-2b-it
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pipeline_tag: text-generation
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metrics:
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- accuracy
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---
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## Description
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RLM-spell-checker is a fined-tuned version of gemma-2b-V3. This model is fined-tuned using LoRA.
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### Author: [Rudra Shah](https://www.linkedin.com/in/rudra-shah-b044781b4/)
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## Running Model
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``` python
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("rudrashah/RLM-spell-checker")
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model = AutoModelForCausalLM.from_pretrained("rudrashah/RLM-spell-checker")
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sent = "Whaat iss the mision?"
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template = "Sentence:\n{org}\n\nCorrect_Grammar:\n{new}"
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input_text = template.format(org=sent, new="")
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input_ids = tokenizer(input_text, return_tensors="pt")
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outputs = model.generate(**input_ids, max_new_tokens=128)
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print(tokenizer.decode(outputs[0]))
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```
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