* How to use:

        tokenizer = GPT2Tokenizer.from_pretrained('farnhua/neo-gender')
        model = GPTNeoForCausalLM.from_pretrained('farnhua/neo-gender')

{}
transformers pytorch gpt_neo text-generation autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #region-us 

* How to use:

        tokenizer = GPT2Tokenizer.from_pretrained('farnhua/neo-gender')
        model = GPTNeoForCausalLM.from_pretrained('farnhua/neo-gender')

TAGS
#transformers #pytorch #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #region-us 
