readme: # T5-base data to text model specialized for Finance NLG
  
  __complete version__
  
  ----
  ## Usage (HuggingFace Transformers)
  
  
  
  #### Call the model
  
  ```python
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
  tokenizer = AutoTokenizer.from_pretrained("yseop/FNP_T5_D2T_complete")
  
  model = AutoModelForSeq2SeqLM.from_pretrained("yseop/FNP_T5_D2T_complete")
  
  
  text = ["Group profit | valIs | € 115.7 million && € 115.7 million | dTime | in 2019"]
  
  ```
  #### Choose a generation method 
  
  ```python
  
  
  input_ids = tokenizer.encode(": {}".format(text), return_tensors="pt")
  p = 0.82
  k = 90
  
  outputs = model.generate(input_ids,
                           do_sample=True,
                          top_p=p,
                          top_k=k,
                          early_stopping=True)
  
  print(tokenizer.decode(outputs[0]))
  
  ```
  
  
  
  ```python
  
  input_ids = tokenizer.encode(": {}".format(text), return_tensors="pt")
  
  outputs = model.generate(input_ids, 
                           max_length=200, 
                           num_beams=2, repetition_penalty=2.5, 
                           top_k=50, top_p=0.98,
                           length_penalty=1.0,
                           early_stopping=True)
  
  print(tokenizer.decode(outputs[0]))
  
  
  ```
  
  
  
  **Created by:** [Yseop](https://www.yseop.com/) | Pioneer in Natural Language Generation (NLG) technology. Scaling human expertise through Natural Language Generation.