# ArXiv GPT-2 checkpoint

This is a GPT-2 small checkpoint for PyTorch. It is the official `gpt2-small` finetuned to ArXiv paper on physics fields.

## Training data

This model was trained on a subset of ArXiv papers that were parsed from PDF to txt. The resulting data is made of 130MB of text, mostly from quantum physics (quant-ph) and other physics sub-fields.

{}
transformers pytorch jax gpt2 endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #jax #gpt2 #endpoints_compatible #text-generation-inference #region-us 

# ArXiv GPT-2 checkpoint

This is a GPT-2 small checkpoint for PyTorch. It is the official 'gpt2-small' finetuned to ArXiv paper on physics fields.

## Training data

This model was trained on a subset of ArXiv papers that were parsed from PDF to txt. The resulting data is made of 130MB of text, mostly from quantum physics (quant-ph) and other physics sub-fields.

# ArXiv GPT-2 checkpoint

This is a GPT-2 small checkpoint for PyTorch. It is the official 'gpt2-small' finetuned to ArXiv paper on physics fields. ## Training data

This model was trained on a subset of ArXiv papers that were parsed from PDF to txt. The resulting data is made of 130MB of text, mostly from quantum physics (quant-ph) and other physics sub-fields.
TAGS
#transformers #pytorch #jax #gpt2 #endpoints_compatible #text-generation-inference #region-us 
 # ArXiv GPT-2 checkpoint

This is a GPT-2 small checkpoint for PyTorch. It is the official 'gpt2-small' finetuned to ArXiv paper on physics fields. ## Training data

This model was trained on a subset of ArXiv papers that were parsed from PDF to txt. The resulting data is made of 130MB of text, mostly from quantum physics (quant-ph) and other physics sub-fields.
passage: TAGS
#transformers #pytorch #jax #gpt2 #endpoints_compatible #text-generation-inference #region-us 
# ArXiv GPT-2 checkpoint

This is a GPT-2 small checkpoint for PyTorch. It is the official 'gpt2-small' finetuned to ArXiv paper on physics fields.## Training data

This model was trained on a subset of ArXiv papers that were parsed from PDF to txt. The resulting data is made of 130MB of text, mostly from quantum physics (quant-ph) and other physics sub-fields.