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In the retriever system, I understand you are using the Finbert-domain. In the ranker, you are using Finbert-QA. What is the difference between the two? Can we use the Finbert-domain in the the ranker…
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**Is your feature request related to a problem? Please describe.**
As Data Scientist working on NLP,
I want to have an image with some specific libraries for my NLP project.
**Describe the solu…
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Hi, I'm trying to use predict.py, colud it possible to predict entire artile (maybe 17 lines) to one final result? but not 17 result for every sentence ?
The images show 17 lines in green backgroun…
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Hello, I trained the model with my own parameters, and saved it.
However, whenever I try to use it, I get the following error:
UnicodeDecodeError Traceback (most recent cal…
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Hi,
Used pre-trained models on financial news of a company for text classification. Given below are the three sentences which should have been predicted as positive. Is there a more refined model a…
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I have seen that your training implementation of FinBERT supports distributed training. But how can we launch it on multiple servers ?
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Hi! Thanks for developing and sharing the codes.
I wonder which vanilla BERT model you used to post-training on financial domain text.
To be specific, I wonder whether this FinBERT model can te…
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Hi, I have been working with FinBERT on colab and it works perfectly. However when I tried to work on my local environment (pycharm) I got this error when installing
**ERROR: Could not find a vers…
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When I call predict, I get the error "only one element tensors can be converted to Python scalars" on line 618 of finbert.py.
When I modify the line from:
`logits = softmax(np.array(logits))`
to
`…
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Hi!
Thank you for this repository.
Do you know where I can find the Analyst Tone dataset that you mention in the paper?
Thank you,
Maxime.