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