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README.md
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It achieves the following results on the evaluation set:
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- Loss: 0.3823
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## Model description
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This model fine-tunes the [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert), which is a pre-trained NLP model to analyze the sentiment of the financial text.
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It achieves the following results on the evaluation set:
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- Loss: 0.3823
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```python
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from transformers import BertTokenizer, BertForSequenceClassification
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from transformers import pipeline
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tokenizer = BertTokenizer.from_pretrained("kk08/CryptoBERT")
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model = BertForSequenceClassification.from_pretrained("kk08/CryptoBERT")
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classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
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text = "Bitcoin (BTC) touches $29k, Ethereum (ETH) Set To Explode, RenQ Finance (RENQ) Crosses Massive Milestone"
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result = classifier(text)
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print(result)
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```
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[{'label': 'LABEL_1', 'score': 0.9678454399108887}]
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```
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```
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## Model description
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This model fine-tunes the [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert), which is a pre-trained NLP model to analyze the sentiment of the financial text.
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