Questions tagged [huggingface]
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11 questions
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Formatting a numbered list into a cohesive prose paragraph using Hugging Face Inference API
I am playing with Hugging Face Inference API and I am trying to convert a numbered list into a cohesive prose paragraph. I have tried multiple models but I am not able to get things working.
I have ...
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Quick way to extract a shopping list from audio
I want to write code to extract a list of parts from an audio file. I'm not sure how to proceed, and I would like to hear if people have any suggestions.
The audio file contains a voice saying e.g. &...
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Are the model implementations in Hugging Face’s transformers library created by the original model authors or by Hugging Face?
I've been exploring the implementation of models like Llama in Hugging Face’s transformers library, for example:
Hugging Face's Llama model implementation.
I’m ...
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SpeechT5 Huggingface voice conversion: how to process whole input
I have followed the voice conversion example in the Huggingface blog post, and can replicate that example in a Colab session. As mentioned in the blog, the voice conversion stops consistently in the ...
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Understanding the embeddings model (dunzhang/stella_en_400M_v5) by Alibaba. The details about the retrieve task and the s2s task
The model I am talking about is hosted here:
From the documentation:
We simplify usage of prompts, providing two prompts for most general tasks, one is for s2p, another one is for s2s.Prompt of s2p ...
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How to use llama-cpp-python to manually pick the next tokens?
When I use llama-cli, I ask models questions and they generate tokens. I see the tokens appear as they model generates them. The model randomly selects the tokens based on the random seed.
But what I ...
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Summary Generation
I want to create a summary from a list of some bullet points and keywords . Most NLP and Transformer based models are not very well suited for short sentences and bullet point.
Bullet points are ...
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Is it possible to use LLMs by manually picking the tokens?
Suppose that we give a prompt to an LLM model, such as "what is a banana?", the LLM would start writing spitting tokens out, out of a space of tokens, until it manages to complete a textual ...
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Train my own LLM on a smaller corpus of text?
Would it be possible to train my own LLM on a smaller corpus of text, lets say some coding documentation that I then want to ask questions about using the model?
If so, are there any recommended ways ...
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My small BERT can't even overfit on a sentiment analysis task
I'm trying to train (from scratch) a miniature BERT model on SST2, a simple binary sentiment analysis task with inputs of maybe 5-20 words at a time. As you can see in my code, my approach is a little ...
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