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Update README.md
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README.md
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# Finetuned
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This distilbert model was fine-tuned on 50.000 stock news articles using the HuggingFace adapter from Kern AI refinery. The articles consisted of the headlines plus abstract of the article.
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For the finetuning, a single NVidia K80 was used for about four hours.
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```python
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model = AutoModelForSequenceClassification.from_pretrained("KernAI/stock-news-
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tokenizer = AutoTokenizer.from_pretrained("KernAI/stock-news-
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```
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To classify a single sentence or a sentence pair, you can use the HuggingFace Pipeline API:
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# Finetuned distilBERT model for stock news classification
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This distilbert model was fine-tuned on 50.000 stock news articles using the HuggingFace adapter from Kern AI refinery. The articles consisted of the headlines plus abstract of the article.
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For the finetuning, a single NVidia K80 was used for about four hours.
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```python
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model = AutoModelForSequenceClassification.from_pretrained("KernAI/stock-news-distilbert")
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tokenizer = AutoTokenizer.from_pretrained("KernAI/stock-news-distilbert")
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```
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To classify a single sentence or a sentence pair, you can use the HuggingFace Pipeline API:
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