feat(clean)

Readme.md

@@ -1,69 +0,0 @@
-
-
-# T5-base data to text model specialized for Finance NLG
-
- __simple 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=0.72
-k=40
-
-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]))
-
-
-```
-
-
-```bibtex
-@inproceedings{Mariko-fincausal-2021, title ={{The Financial Document Causality Detection Shared Task (FinCausal 2021)}}, author = {Mariko, Dominique and Abi Akl, Hanna and Labidurie, Estelle and de Mazancourt, Hugues and El-Haj, Mahmoud}, booktitle ={{The Third Financial Narrative Processing Workshop (FNP 2021)}}, year = {2021}, address = {Lancaster, UK} }
-
-```
-
-
-**Created by:** [Yseop](https://www.yseop.com/) | Pioneer in Natural Language Generation (NLG) technology. Scaling human expertise through Natural Language Generation.