
# GPT-NEO-Model for Lean Tactics


In the project, we used an HuggingFace GPT-NEO small model and fine-tuned the tactic dataset. The Input should be of the form
```
<GOAL> Goal <PROOFSTEP>
```

The model can easily be accessed using the following code. 

```
from transformers import GPT2Tokenizer, GPTNeoForCausalLM
import torch

tokenizer = GPT2Tokenizer.from_pretrained("Saisam/gpt-neo-math-small")
model = GPTNeoForCausalLM.from_pretrained("Saisam/gpt-neo-math-small")
```

More Information can be found at https://github.com/saisurbehera/mathProof.

The current model beats the GPT-F for minif2f benchmark

Worked along with Xihao Xhang and Moya Zhu

{"license": "apache-2.0"}
transformers pytorch gpt_neo text-generation license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #gpt_neo #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# GPT-NEO-Model for Lean Tactics


In the project, we used an HuggingFace GPT-NEO small model and fine-tuned the tactic dataset. The Input should be of the form


The model can easily be accessed using the following code. 



More Information can be found at URL

The current model beats the GPT-F for minif2f benchmark

Worked along with Xihao Xhang and Moya Zhu

# GPT-NEO-Model for Lean Tactics


In the project, we used an HuggingFace GPT-NEO small model and fine-tuned the tactic dataset. The Input should be of the form


The model can easily be accessed using the following code. 



More Information can be found at URL

The current model beats the GPT-F for minif2f benchmark

Worked along with Xihao Xhang and Moya Zhu
TAGS
#transformers #pytorch #gpt_neo #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # GPT-NEO-Model for Lean Tactics


In the project, we used an HuggingFace GPT-NEO small model and fine-tuned the tactic dataset. The Input should be of the form


The model can easily be accessed using the following code. 



More Information can be found at URL

The current model beats the GPT-F for minif2f benchmark

Worked along with Xihao Xhang and Moya Zhu
passage: TAGS
#transformers #pytorch #gpt_neo #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# GPT-NEO-Model for Lean Tactics


In the project, we used an HuggingFace GPT-NEO small model and fine-tuned the tactic dataset. The Input should be of the form


The model can easily be accessed using the following code. 



More Information can be found at URL

The current model beats the GPT-F for minif2f benchmark

Worked along with Xihao Xhang and Moya Zhu