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#### Software execution information
MLE-agent version: 0.3.1
System OS version: ubuntu 20.04.6
#### Problem description
in my scene, i use ollama with llama3.1-8b model. Following the exa…
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Text-based sentiment classification feature.
- [ ] Mihai has text to train an happy/sad classifier
- [ ] text sentiment dictionary
- [ ] emoji sentiment dictionary
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the input to the branches is not actually the initial feedback, but the output of previous chain, which would be the classification. hence, the chain is not behaving as expected
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When I am using the pipeline, I meet an error: KeyError: "Unknown task depth-estimation, available tasks are ['audio-classification', 'automatic-speech-recognition', 'conversational', 'feature-extrac…
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### Short description of current behavior
I have huggingface sentiment analyzer and sentiment explain comes as text in next format:
```
{'Neutral': 0.6581241488456726, 'Bullish': 0.3416257798671722…
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dear sir, I found that the sentiment classification task use the file "STree.txt" during the preprocessing stage. Is it necessary and how to generate this file if i use my dataset?
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### System Info
I got this error when I tried to use sentiment classification pipeline with "nvidia/Mistral-NeMo-Minitron-8B-Base". It works fine with llama 3.1.
TypeError: MistralForSequenceClas…
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This is not an issue but a question. I discovered that the TweetNLP demo can classify multilingual texts, including Turkish. Can I classify Turkish texts with this version? I haven't tried it yet, so …
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I use sentiment analysis with bert, however it is multiclass classification, how to change for binary class text classification.