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--- |
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library_name: transformers |
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tags: |
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- trl |
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- sft |
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--- |
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# Model Card |
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Base Gemma 2B model Finetuned on twitter-financial-news-sentiment dataset |
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- **Developed by:** Maradona Morais |
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- **License:** Apache 2 |
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- **Finetuned from model:** [google/gemma-2b](https://huggingface.co/google/gemma-2b) |
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## Uses |
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``` |
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Tweet: $ALLY - Ally Financial pulls outlook https://t.co/G9Zdi1boy5 |
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Sentiment: [Bullish | Bearish | Neutral] |
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``` |
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```python |
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# Load model directly |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("maradona/gemma-2b-twitter-financial-news-sentiment") |
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model = AutoModelForCausalLM.from_pretrained("maradona/gemma-2b-twitter-financial-news-sentiment") |
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``` |
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