id stringlengths 7 11 | source stringclasses 1
value | category stringclasses 11
values | title stringlengths 15 214 | text stringlengths 70 30.5k | url stringlengths 57 160 | tags stringlengths 3 113 | created_at int64 1.22B 1.79B |
|---|---|---|---|---|---|---|---|
se_79507530 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to normalize ingredient names in a recipe dataset and handle NOUN + NOUN cases using spaCy in python? | How to normalize ingredient names in a recipe dataset and handle NOUN + NOUN cases using spaCy in python?
I'm working on normalizing ingredient names from a recipe dataset using Python and spaCy. My goal is to extract only the relevant ingredients and ignore measurement units, fractions, and other unnecessary details.... | https://stackoverflow.com/questions/79507530/how-to-normalize-ingredient-names-in-a-recipe-dataset-and-handle-noun-noun-cas | python, nlp, spacy | 1,741,896,783 |
se_79498915 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Comparing the similarity of spoken and written form text | Comparing the similarity of spoken and written form text
I'm converting spoken form text to its written form. For example, "he owes me two-thousand dollars" should be converted to "he owes me $2,000" . I want an automatic check, to judge if the conversion was right or not. Can i use sentence transformers to compare th... | https://stackoverflow.com/questions/79498915/comparing-the-similarity-of-spoken-and-written-form-text | nlp, large-language-model | 1,741,632,959 |
se_58114417 | stackoverflow | ARTIFICIAL_INTELLIGENCE | My model's loss value decreases slowly .how to reduce my loss faster while training? | My model's loss value decreases slowly .how to reduce my loss faster while training?
when I train the model the loss decrease from 0.9 to 0.5 in 2500 epochs. Is it normal?
my model:
model = Sequential()
model.add(Embedding(vocab_size , emd_dim, weights=[emd_matrix], input_length=maxLen,trainable=False)... | https://stackoverflow.com/questions/58114417/my-models-loss-value-decreases-slowly-how-to-reduce-my-loss-faster-while-train | tensorflow, keras, neural-network, deep-learning, nlp | 1,569,492,445 |
se_62945590 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I transform verbs from present tense to past tense with using NLP library? | How can I transform verbs from present tense to past tense with using NLP library?
What I would like to do
I would like to transform verbs from present tense to past tense with using NLP library like below.
As she leaves the kitchen, his voice follows her.
#output
As she left the kitchen, his voice followed her.
Pr... | https://stackoverflow.com/questions/62945590/how-can-i-transform-verbs-from-present-tense-to-past-tense-with-using-nlp-librar | python, python-3.x, nlp, stanford-nlp, spacy | 1,594,947,771 |
se_75901231 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I make sentence-BERT throw an exception if the text exceeds max_seq_length, and what is the max possible max_seq_length for all-MiniLM-L6-v2? | How can I make sentence-BERT throw an exception if the text exceeds max_seq_length, and what is the max possible max_seq_length for all-MiniLM-L6-v2?
I'm using sentence-BERT from Huggingface in the following way:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('all-MiniLM-L6-v2')
mode... | https://stackoverflow.com/questions/75901231/how-can-i-make-sentence-bert-throw-an-exception-if-the-text-exceeds-max-seq-leng | nlp, huggingface-transformers, bert-language-model, huggingface-tokenizers, sentence-transformers | 1,680,283,794 |
se_79488426 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Upserting in Pinecone takes too long | Upserting in Pinecone takes too long
I'm trying to upsert reviews that i've scraped into pinecone. For the embedding model im using jina-embedding-v3. For 204 reviews this takes around 2.5 hours! in Colab. Tried using GPU but the embeddings arent using GPU.
Am i doing something wrong? Is there a way that i can speed u... | https://stackoverflow.com/questions/79488426/upserting-in-pinecone-takes-too-long | python, nlp, rag, pinecone | 1,741,242,155 |
se_9756653 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I run an input file on the porter stemmer java code? | How can I run an input file on the porter stemmer java code?
How can I run an input file
on the porter stemmer java code? | https://stackoverflow.com/questions/9756653/how-can-i-run-an-input-file-on-the-porter-stemmer-java-code | java, nlp, porter-stemmer | 1,332,054,539 |
se_79501263 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Calculate the gradient with respect to attention but also the FFN layers for a pre-trained LLMs | Calculate the gradient with respect to attention but also the FFN layers for a pre-trained LLMs
I would like to return the gradient with respect to specific layers and the FFN layer in the Transformer architecture of pre-trained LLMs from the hugging-face model. Is that even possible?
I am working with the code of thi... | https://stackoverflow.com/questions/79501263/calculate-the-gradient-with-respect-to-attention-but-also-the-ffn-layers-for-a-p | python, pytorch, nlp, large-language-model | 1,741,706,517 |
se_60352003 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Download webpage as .mhtml | How to Download webpage as .mhtml
I am able to successfully open a URL and save the resultant page as a .html file. However, I am unable to determine how to download and save a .mhtml (Web Page, Single File).
My code is:
import urllib.parse, time
from urllib.parse import urlparse
import urllib.request
url = ('http... | https://stackoverflow.com/questions/60352003/how-to-download-webpage-as-mhtml | python-3.x, nlp, arabic | 1,582,373,291 |
se_90580 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Word frequency algorithm for natural language processing | Word frequency algorithm for natural language processing
Without getting a degree in information retrieval, I'd like to know if there exists any algorithms for counting the frequency that words occur in a given body of text. The goal is to get a "general feel" of what people are saying over a set of textual comments.... | https://stackoverflow.com/questions/90580/word-frequency-algorithm-for-natural-language-processing | algorithm, nlp, word-frequency | 1,221,720,566 |
se_78862426 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Unable to use nltk functions | Unable to use nltk functions
I was trying to run some nltk functions on the UCI spam message dataset but ran into this problem of word_tokenize not working even after downloading dependencies.
import nltk
nltk.download('punkt')
from nltk.tokenize import word_tokenize
df['text'].apply(lambda x: len(nltk.word_tokenize(... | https://stackoverflow.com/questions/78862426/unable-to-use-nltk-functions | python, machine-learning, nlp, nltk | 1,723,475,849 |
se_28314337 | stackoverflow | ARTIFICIAL_INTELLIGENCE | TypeError: sparse matrix length is ambiguous; use getnnz() or shape[0] while using RF classifier? | TypeError: sparse matrix length is ambiguous; use getnnz() or shape[0] while using RF classifier?
I am learning about random forests in scikit learn and as an example I would like to use Random forest classifier for text classification, with my own dataset. So first I vectorized the text with tfidf and for classificat... | https://stackoverflow.com/questions/28314337/typeerror-sparse-matrix-length-is-ambiguous-use-getnnz-or-shape0-while-usi | python, numpy, machine-learning, nlp, scikit-learn | 1,423,028,915 |
se_79130264 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Load a 4-bit Quantized VLM Model from Hugging Face with Transformers? | How to Load a 4-bit Quantized VLM Model from Hugging Face with Transformers?
Iโm new to quantization and working with visual language models (VLM).Iโm trying to load a 4-bit quantized version of the Ovis1.6-Gemma model from Hugging Face using the transformers library. I downloaded the model from this link: https://hug... | https://stackoverflow.com/questions/79130264/how-to-load-a-4-bit-quantized-vlm-model-from-hugging-face-with-transformers | python, nlp, huggingface-transformers, huggingface, quantization | 1,730,021,481 |
se_23178275 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Text classification in python - (NLTK Sentence based) | Text classification in python - (NLTK Sentence based)
I need to classify text and i am using Text blob python module to achieve it.I can use either Naive Bayes classifier/Decision tree. I am concern about the below mentioned points.
I Need to classify sentences as argument/ Not an argument. I am using two classifiers... | https://stackoverflow.com/questions/23178275/text-classification-in-python-nltk-sentence-based | python, machine-learning, nlp, text-classification | 1,397,966,487 |
se_77701433 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ValueError: You are trying to offload the whole model to the disk. Please use the `disk_offload` function instead | ValueError: You are trying to offload the whole model to the disk. Please use the `disk_offload` function instead
I am trying to run a GitHub project on my computer.
GitHub Repo that I am trying to run
This is the code snippet that is causing errors.
Steps I took for replicating the project are:
Cloned the repositor... | https://stackoverflow.com/questions/77701433/valueerror-you-are-trying-to-offload-the-whole-model-to-the-disk-please-use-th | python, nlp, large-language-model, pre-trained-model, llama | 1,703,211,929 |
se_47524602 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Wordcloud is cropping text | Wordcloud is cropping text
I am using twitter API to generate sentiments. I am trying to generate a word-cloud based on tweets.
Here is my code to generate a wordcloud
wordcloud(clean.tweets, random.order=F,max.words=80, col=rainbow(50), scale=c(3.5,1))
Result for this:
I also tried this:
pal <- brewer.pal(8... | https://stackoverflow.com/questions/47524602/wordcloud-is-cropping-text | r, text-analysis, word-cloud, sttwitterapi | 1,511,847,075 |
se_55131104 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to "Create environment variable file with: touch .env for configuration (in project root)." | How to "Create environment variable file with: touch .env for configuration (in project root)."
basically just don't understand what this line means, did everything else already https://github.com/adityasarvaiya/Automatic_Question_Generation#environment-variables | https://stackoverflow.com/questions/55131104/how-to-create-environment-variable-file-with-touch-env-for-configuration-in | python, nlp, stanford-nlp | 1,552,427,118 |
se_46541255 | stackoverflow | ARTIFICIAL_INTELLIGENCE | MITIE library for NLP | MITIE library for NLP
I am trying to understand how MITIE is integrated with Rasa. I wanted to know what exactly the MITIE file total_word_feature_extractor.dat contain? I dont find any good documentation about this. | https://stackoverflow.com/questions/46541255/mitie-library-for-nlp | python, neural-network, nlp, rasa-nlu | 1,507,022,597 |
se_40453503 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Information extraction in Python | Information extraction in Python
I am attempting to extract this type of information from the following paragraph structure:
women_ran men_ran kids_ran walked
1 2 1 3
2 4 3 1
3 6 5 2
text = ["On Tuesday, one women ran on the street whil... | https://stackoverflow.com/questions/40453503/information-extraction-in-python | python, nlp, information-extraction, spacy | 1,478,460,080 |
se_23506732 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Compare two phrases using WordNet? | Compare two phrases using WordNet?
I am trying to compare the semantic of two phrases.
In Python I am using nltk and difflib.
First I am removing the stop words from the phrases, then I am using WordNetLemmatizer and PorterStemmer to normalise the words then I am comparing the rest with the SequenceMatcher of difflib.... | https://stackoverflow.com/questions/23506732/compare-two-phrases-using-wordnet | nlp, nltk, wordnet, difflib, semantic-analysis | 1,399,422,479 |
se_2037832 | stackoverflow | ARTIFICIAL_INTELLIGENCE | semantic similarity between sentences | semantic similarity between sentences
I'm doing a project. I need any opensource tool or technique to find the semantic similarity of two sentences, where I give two sentences as an input, and receive score (i.e.,semantic similarity) as an output. Any help? | https://stackoverflow.com/questions/2037832/semantic-similarity-between-sentences | java, machine-learning, nlp | 1,263,144,584 |
se_23110657 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Understanding word2vec text representation | Understanding word2vec text representation
I would like to implement the distance part of word2vec in my program. Unfortunately it's not in C/C++ or Python, but first I did not understand the non-binary representation. This is how I get the file
./word2vec -train text8-phrase -output vectorsphrase.txt -cbow 0 -size 30... | https://stackoverflow.com/questions/23110657/understanding-word2vec-text-representation | nlp, word2vec | 1,397,654,281 |
se_74151249 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Bertopic assign topics to data frame | Bertopic assign topics to data frame
I have build a topic model with Bertopic.
After getting topic how could I assign them to dataset.
My main aim is to convert unsupervised topic modelling to supervised multi label classification problem. | https://stackoverflow.com/questions/74151249/bertopic-assign-topics-to-data-frame | python, machine-learning, nlp, bert-language-model, topic-modeling | 1,666,342,935 |
se_27860652 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What is the concept of negative-sampling in word2vec? | What is the concept of negative-sampling in word2vec?
I'm reading the 2014 paper word2vec Explained: Deriving Mikolov et al.โs
Negative-Sampling Word-Embedding Method (note: direct download link) and it references the concept of "negative-sampling":
Mikolov et al. present the negative-sampling approach as a more effi... | https://stackoverflow.com/questions/27860652/what-is-the-concept-of-negative-sampling-in-word2vec | machine-learning, nlp, word2vec | 1,420,806,685 |
se_33374010 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Does Word2Vec has a hidden layer? | Does Word2Vec has a hidden layer?
When I am reading one of papers of Tomas Mikolov: http://arxiv.org/pdf/1301.3781.pdf
I have one concern on the Continuous Bag-of-Words Model section๏ผ
The first proposed architecture is similar to the feedforward NNLM, where the non-linear hidden layer is removed and the projectio... | https://stackoverflow.com/questions/33374010/does-word2vec-has-a-hidden-layer | machine-learning, nlp, neural-network, word2vec | 1,445,965,054 |
se_34363250 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Understanding Word2Vec's Skip-Gram Structure and Output | Understanding Word2Vec's Skip-Gram Structure and Output
I have a two-fold question about the Skip-Gram model in Word2Vec:
The first part is about structure: as far as I understand it, the Skip-Gram model is based on one neural network with one input weight matrix W, one hidden layer of size N, and C output weight... | https://stackoverflow.com/questions/34363250/understanding-word2vecs-skip-gram-structure-and-output | vector, machine-learning, nlp, word2vec | 1,450,469,528 |
se_49732976 | stackoverflow | ARTIFICIAL_INTELLIGENCE | what actually word embedding dimensions values represent? | what actually word embedding dimensions values represent?
I have a doubt in word2vec and word embedding, I have downloaded GloVe pre-trained word embedding (shape 40,000 x 50) and using this function to extract information from that:
import numpy as np
def loadGloveModel(gloveFile):
print ("Loading Glove Model")
... | https://stackoverflow.com/questions/49732976/what-actually-word-embedding-dimensions-values-represent | machine-learning, nlp, word2vec, word-embedding | 1,523,276,842 |
se_29381505 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why does word2vec use 2 representations for each word? | Why does word2vec use 2 representations for each word?
I am trying to understand why word2vec's skipgram model has 2 representations for each word (the hidden representation which is the word embedding) and the output representation (also called context word embedding) . Is this just for generality where the context c... | https://stackoverflow.com/questions/29381505/why-does-word2vec-use-2-representations-for-each-word | machine-learning, nlp, word2vec | 1,427,852,681 |
se_79485287 | stackoverflow | ARTIFICIAL_INTELLIGENCE | how to pass additional query filters to a SelfQueryRetriever? | how to pass additional query filters to a SelfQueryRetriever?
We are implementing a SelfQueryRetriever using OpenSearch as vectorstore, in general it works fine generating the metadata filters from the user query but we need some way to append other filters to the query, and I cannot find how to do that in the documen... | https://stackoverflow.com/questions/79485287/how-to-pass-additional-query-filters-to-a-selfqueryretriever | python, nlp, artificial-intelligence, langchain | 1,741,140,219 |
se_76983305 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Fine-tuning TheBloke/Llama-2-13B-chat-GPTQ model with Hugging Face Transformers library throws Exllama error | Fine-tuning TheBloke/Llama-2-13B-chat-GPTQ model with Hugging Face Transformers library throws Exllama error
I am trying to fine-tune the TheBloke/Llama-2-13B-chat-GPTQ model using the Hugging Face Transformers library. I am using a JSON file for the training and validation datasets. However, I am encountering an erro... | https://stackoverflow.com/questions/76983305/fine-tuning-thebloke-llama-2-13b-chat-gptq-model-with-hugging-face-transformers | nlp, huggingface-transformers, huggingface, llama, fine-tuning | 1,693,058,250 |
se_79482290 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to handle German language specific characters like (ä, ö, ü, ß) while tokenizing using GPT2Tokenizer? | How to handle German language specific characters like (ä, ö, ü, ß) while tokenizing using GPT2Tokenizer?
I am working with German Texts, where I need to tokenize texts using GPT2Tokenizer.
To tokenize the text, I wrote the implementation as follows:
from transformers import GPT2Tokenizer
text = "... | https://stackoverflow.com/questions/79482290/how-to-handle-german-language-specific-characters-like-%c3%a4-%c3%b6-%c3%bc-%c3%9f-while-tokeni | python, nlp, tokenize, large-language-model, gpt-2 | 1,741,041,156 |
se_76190801 | stackoverflow | ARTIFICIAL_INTELLIGENCE | BertScore giving me high results for unrelated sentences | BertScore giving me high results for unrelated sentences
I've been trying out bert_score to do some metrics. When testing it, I'm finding that it's giving me some very high scores for some totally unrelated sentences.
For example, I tried this:
refs = ["Ladies in a kitchen laughing at the camera while one grates chees... | https://stackoverflow.com/questions/76190801/bertscore-giving-me-high-results-for-unrelated-sentences | python, nlp, bert-language-model | 1,683,402,320 |
se_79449476 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How do I remove escape characters from output of nltk.word_tokenize? | How do I remove escape characters from output of nltk.word_tokenize?
How do I get rid of non-printing (escaped) characters from the output of the nltk.word_tokenize method? I am working through the book 'Natural Language Processing with Python' and am following the code examples, which inform me that the output should... | https://stackoverflow.com/questions/79449476/how-do-i-remove-escape-characters-from-output-of-nltk-word-tokenize | python, nlp, nltk, tokenize, text-processing | 1,739,909,413 |
se_70716702 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Using sentence transformers with limited access to internet | Using sentence transformers with limited access to internet
I have access to the latest packages but I cannot access internet from my python enviroment.
Package versions that I have are as below
huggingface-hub-0.4.0 sacremoses-0.0.47 tokenizers-0.10.3 transformers-4.15.0
sentence-transformers-2.1.0 sentencepiece-0.1.... | https://stackoverflow.com/questions/70716702/using-sentence-transformers-with-limited-access-to-internet | python, nlp, huggingface-transformers, sentence-transformers | 1,642,195,601 |
se_79192130 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Using an AWS service to execute a python script that will extract keywords from text using keyBERT? | Using an AWS service to execute a python script that will extract keywords from text using keyBERT?
I have a simple python script that is given two blocks of text, it then extracts the keywords from them using keyBERT, and then compares the lists of keywords to sort them into two lists depending on if the lists share ... | https://stackoverflow.com/questions/79192130/using-an-aws-service-to-execute-a-python-script-that-will-extract-keywords-from | python, amazon-web-services, aws-lambda, nlp, large-language-model | 1,731,669,216 |
se_79459888 | stackoverflow | ARTIFICIAL_INTELLIGENCE | OpenNLP POSTaggerME and ChunkerME synergy | OpenNLP POSTaggerME and ChunkerME synergy
I'm trying to use the OpenNLP chunking API to chunk a portuguese sentence. So, first I tokenized a sentence using TokenizerME, then I tagged it with POSTaggerME. For both I used the ready-made models provided by the project here.
For the sentence โIvo viu a uvaโ, POSTaggerME r... | https://stackoverflow.com/questions/79459888/opennlp-postaggerme-and-chunkerme-synergy | nlp, opennlp | 1,740,240,371 |
se_79465047 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Where is the HuggingFace model saved in when loading a model on colab? | Where is the HuggingFace model saved in when loading a model on colab?
I have this code for loading a generative model. I'm not sure how to see model files in colab (i.e., config.json etc.).
model_id = "deepseek-ai/DeepSeek-R1-Distill-Llama-8B"
pipeline = transformers.pipeline(
"text-generation",
... | https://stackoverflow.com/questions/79465047/where-is-the-huggingface-model-saved-in-when-loading-a-model-on-colab | nlp, huggingface-transformers, huggingface | 1,740,439,542 |
se_5107371 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Document Analysis and Tagging | Document Analysis and Tagging
Let's say I have a bunch of essays (thousands) that I want to tag, categorize, etc. Ideally, I'd like to train something by manually categorizing/tagging a few hundred, and then let the thing loose.
What resources (books, blogs, languages) would you recommend for undertaking such a task?... | https://stackoverflow.com/questions/5107371/document-analysis-and-tagging | machine-learning, nlp, classification, bayesian, tagging | 1,298,564,443 |
se_33180665 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to use Chunker Class in OpenNLP? | How to use Chunker Class in OpenNLP?
The ChunkerME class in OpenNLP has a chunk() method which takes two String[]. The first one should be the tags (tags from part of speech tagging process) and the second one is the actual terms.
I'm having a tagged string in the format of Sir_NNP Arthur_NNP Conan_NNP... and I'd lik... | https://stackoverflow.com/questions/33180665/how-to-use-chunker-class-in-opennlp | nlp, opennlp, part-of-speech | 1,445,035,790 |
se_52955249 | stackoverflow | ARTIFICIAL_INTELLIGENCE | NoneType' object is not iterable for Vectorizer sklearn | NoneType' object is not iterable for Vectorizer sklearn
I have imported text data into pandas dataframe. I would like to implement Vectorizer. So i use sklearn to do tfidf and so on
So the first step i did. clean the text.
#Creating Function
from nltk.corpus import stopwords
def text_process(sms):
nonpunc =... | https://stackoverflow.com/questions/52955249/nonetype-object-is-not-iterable-for-vectorizer-sklearn | python, scikit-learn, nlp | 1,540,317,931 |
se_78943401 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Fine-tuning a Pretrained Model with Quantization and AMP: Scaler Error "Attempting to Unscale FP16 Gradients" | Fine-tuning a Pretrained Model with Quantization and AMP: Scaler Error "Attempting to Unscale FP16 Gradients"
I am trying to fine-tune a pretrained model with limited VRAM. To achieve this, I am using quantization and automatic mixed precision (AMP). However, I am encountering an issue that I can't seem to r... | https://stackoverflow.com/questions/78943401/fine-tuning-a-pretrained-model-with-quantization-and-amp-scaler-error-attempti | python, pytorch, nlp, huggingface-transformers, fine-tuning | 1,725,352,703 |
se_76852637 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to transcribe multiple audio files at once using Whisper finetuned model? | How to transcribe multiple audio files at once using Whisper finetuned model?
TL;DR: I'm trying to transcribe multiple files together using Hugging face fine-tuned whisper ai model and extract the output as a single text file
I have this code which works and transcribes an audio and shows its output as a string of tex... | https://stackoverflow.com/questions/76852637/how-to-transcribe-multiple-audio-files-at-once-using-whisper-finetuned-model | nlp, scripting, artificial-intelligence, google-colaboratory, openai-whisper | 1,691,418,032 |
se_79448878 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Python Farm-haystack Dependencies | Python Farm-haystack Dependencies
i am trying to implement a model using farm-haystack, however am having a dependency mismatch for the following libraries : transformers farm-haystack langchain pydantic fastapi uvicorn elasticsearch python-multipart, currently i have 2 versions of python installed on my machine (3.12... | https://stackoverflow.com/questions/79448878/python-farm-haystack-dependencies | python-3.x, nlp, artificial-intelligence, fastapi, haystack | 1,739,894,755 |
se_77613507 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Training llm for Query Generation in a Graph Database | Training llm for Query Generation in a Graph Database
If I have developed a graph database which has its own query language. I have to find a way to feed llm the graph and then llm should be able to generate the queries of our database.
I have found something similar in langchain that we can feed it the rdf file and t... | https://stackoverflow.com/questions/77613507/training-llm-for-query-generation-in-a-graph-database | machine-learning, nlp, sparql, langchain, large-language-model | 1,701,869,646 |
se_71252846 | stackoverflow | ARTIFICIAL_INTELLIGENCE | is there a method to detect person and associate a text? | is there a method to detect person and associate a text?
I have a text like :
Take a loot at some of the first confirmed Forum speakers: John
Sequiera Graduated in Biology at Facultad de Ciencias Exactas y
Naturales,University of Buenos Aires, Argentina. In 2004 obtained a
PhD in Biology (Molecular Neuroscience), a... | https://stackoverflow.com/questions/71252846/is-there-a-method-to-detect-person-and-associate-a-text | python-3.x, nlp, spacy | 1,645,709,880 |
se_77945750 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to solve ERROR: Could not build wheels for sparse-dot-topn-for-blocks, which is required to install pyproject.toml-based projects? | How to solve ERROR: Could not build wheels for sparse-dot-topn-for-blocks, which is required to install pyproject.toml-based projects?
I want to perform a string grouping operation on a dataset of ~7000 variants. After much research, I've found the string-grouper library to be matching my use case. This is an explaine... | https://stackoverflow.com/questions/77945750/how-to-solve-error-could-not-build-wheels-for-sparse-dot-topn-for-blocks-which | python, nlp | 1,707,202,477 |
se_53015099 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Calculating Minimum Edit Distance for unequal strings python | Calculating Minimum Edit Distance for unequal strings python
I am trying to implement Minimum Edit Distance with the substitution cost of 2. Following is the code I've so far. It works well for strings of equal length but generates error for the unequal strings. Kindly correct me where i am wrong
def med(source, targ... | https://stackoverflow.com/questions/53015099/calculating-minimum-edit-distance-for-unequal-strings-python | python, nlp, edit-distance | 1,540,581,683 |
se_39142778 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to determine the language of a piece of text? | How to determine the language of a piece of text?
I want to get this:
Input text: "ััฬััะบะธะน ัะทัฬะบ"
Output text: "Russian"
Input text: "ไธญๆ"
Output text: "Chinese"
Input text: "ใซใปใใ"
Output text: "Japanese"
Input text: "ุงูุนูุฑูุจููููุฉ"
Output text: "Arabic"
How can I do it in python? | https://stackoverflow.com/questions/39142778/how-to-determine-the-language-of-a-piece-of-text | python, nlp | 1,472,120,760 |
se_61742408 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Data Annotation for Machine Learning | Data Annotation for Machine Learning
I am going to develop a machine learning model. I have large data sets(Text). I need overall better accuracy F1 score etc. I am using data annotation tools(Dataturks). Which approach will be good to label the data as single label per entity or multiple label per entity (like there ... | https://stackoverflow.com/questions/61742408/data-annotation-for-machine-learning | machine-learning, nlp, data-annotations, spacy, named-entity-recognition | 1,589,248,043 |
se_25228219 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Clustering of news articles | Clustering of news articles
My scenario is pretty straightforwrd: I have a bunch of news articles (~1k at the moment) for which I know that some cover the same story/topic. I now would like to group these articles based on shared story/topic, i.e., based on their similarity.
What I did so far is to apply basic NLP te... | https://stackoverflow.com/questions/25228219/clustering-of-news-articles | machine-learning, nlp, cluster-analysis, information-retrieval, unsupervised-learning | 1,407,670,745 |
se_79419884 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Underfitting Pre-Trained Glove + LSTM Model: Accurcacy Unchanged | Underfitting Pre-Trained Glove + LSTM Model: Accurcacy Unchanged
I am doing a sentiment classification using Pre-Trained Glove and LSTM model. I use google play review and scrap it by myself, resulting in 50k++ texts. I implement random over sampling on the minority classes.
However, when I train my LSTM model, the tr... | https://stackoverflow.com/questions/79419884/underfitting-pre-trained-glove-lstm-model-accurcacy-unchanged | keras, deep-learning, nlp, lstm, sentiment-analysis | 1,738,896,505 |
se_79425052 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Generating an n-gram dataset based on an LLM | Generating an n-gram dataset based on an LLM
I want a dataset of common n-grams and their log likelihoods. Normally I would download the Google Books Ngram Exports, but I wonder if I can generate a better dataset using a large language model. For example, this script uses llama_cpp.Llama.create_completion to find like... | https://stackoverflow.com/questions/79425052/generating-an-n-gram-dataset-based-on-an-llm | nlp, large-language-model, n-gram, llama-cpp-python, llamacpp | 1,739,110,870 |
se_74636944 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Cannot Keep My Datetime Data and 'No' Word in My Pandas DataFrame | Cannot Keep My Datetime Data and 'No' Word in My Pandas DataFrame
I have a pandas dataframe from csv and I want to clean it using Regex in Python. The data that I have look like this:
Name
Date
Status
Number
A/bCDef
2022-07-11
Yes
io123-07
GhIjK-l
2022-07-12
No
io456-08
I'm trying to clean the da... | https://stackoverflow.com/questions/74636944/cannot-keep-my-datetime-data-and-no-word-in-my-pandas-dataframe | python, regex, datetime, nlp | 1,669,868,988 |
se_78311147 | stackoverflow | ARTIFICIAL_INTELLIGENCE | RuntimeError: Failed to import transformers.integrations.bitsandbytes | RuntimeError: Failed to import transformers.integrations.bitsandbytes
I am trying to load an llm model in 4 bits precision. However, I got RuntimeError: Failed to import transformers.integrations.bitsandbytes because of the following error (look up to see its traceback):
[WinError 193] %1 is not a valid Win32 applicat... | https://stackoverflow.com/questions/78311147/runtimeerror-failed-to-import-transformers-integrations-bitsandbytes | deep-learning, nlp, huggingface-transformers, large-language-model | 1,712,846,265 |
se_77237818 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to load a huggingface pretrained transformer model directly to GPU? | How to load a huggingface pretrained transformer model directly to GPU?
I want to load a huggingface pretrained transformer model directly to GPU (not enough CPU space)
e.g. loading BERT
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("bert-base-uncased")
would be loaded to ... | https://stackoverflow.com/questions/77237818/how-to-load-a-huggingface-pretrained-transformer-model-directly-to-gpu | python, nlp, huggingface-transformers | 1,696,514,260 |
se_79411913 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to resolve ValueError while training Seq2Seq using DataCollatorForSeq2Seq | How to resolve ValueError while training Seq2Seq using DataCollatorForSeq2Seq
I want to fine tune a VisionEncoderDecoderModel.from_pretrained(model_name)
I use a CustomOCRDataset from Learn Open CV.
But the default_data_collator fails to stack the inputs because the samples have a different shape , so I decided to use... | https://stackoverflow.com/questions/79411913/how-to-resolve-valueerror-while-training-seq2seq-using-datacollatorforseq2seq | nlp, huggingface-transformers, huggingface-tokenizers, seq2seq | 1,738,676,684 |
se_62351295 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to gradually train a model on transformers library? | How to gradually train a model on transformers library?
I have seen this tutorial on how to train a BERT model from scratch on Hugging Face Transformers library.
I'm trying to train a GPT-2 model on 1.5 GB data on Google Colab. I load up all the data using this code:
dataset = LineByLineTextDataset(
tokenizer=t... | https://stackoverflow.com/questions/62351295/how-to-gradually-train-a-model-on-transformers-library | python, tensorflow, nlp, pytorch, huggingface-transformers | 1,591,990,655 |
se_79408298 | stackoverflow | ARTIFICIAL_INTELLIGENCE | PunktTokenizer does not work with Russian `ั.` | PunktTokenizer does not work with Russian `ั.`
When tokenizing paragraphs to sentences in the Russian language, I am observing the special case when the sequence is not treated as the end of the sentence. The case is with the ั. at the end of the sentence. See the working example:
import nltk
tok = nltk.tokenize.Punk... | https://stackoverflow.com/questions/79408298/punkttokenizer-does-not-work-with-russian-%d1%8f | nlp, nltk, tokenize | 1,738,573,939 |
se_79406743 | stackoverflow | ARTIFICIAL_INTELLIGENCE | QuickUMLS Always Returns "UNK" for Any Input Text | QuickUMLS Always Returns "UNK" for Any Input Text
I am using QuickUMLS to extract UMLS Concept Unique Identifiers (CUIs) from text, but no matter what word I input, it always returns "UNK". Here is my code:
from quickumls import QuickUMLS
quickumls_fp = "med7_en/lib/python3.10/site-packages/quickumls"
match... | https://stackoverflow.com/questions/79406743/quickumls-always-returns-unk-for-any-input-text | python, machine-learning, deep-learning, nlp | 1,738,505,575 |
se_79402035 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I add citations in the response on Vectara? While testing the Multiple Corpora Query | How can I add citations in the response on Vectara? While testing the Multiple Corpora Query
How can I add citations in the response on Vectara? While testing the Multiple Corpora Query, I updated the citation in the payload. I followed the approach mentioned in the Vectara documentation.
I have tried all the models m... | https://stackoverflow.com/questions/79402035/how-can-i-add-citations-in-the-response-on-vectara-while-testing-the-multiple-c | nlp, large-language-model, rag | 1,738,308,395 |
se_76402289 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Fuzzy Wuzzy: Obtain accurate scores | Fuzzy Wuzzy: Obtain accurate scores
I have a case where users posts multiple messages daily to our work channel. These messages are an issue that can be related to multiple applications that we support (Okta, Slack, Cloudflare etc...). We have multiple solution documented that can help these users, and I want our bot ... | https://stackoverflow.com/questions/76402289/fuzzy-wuzzy-obtain-accurate-scores | python, python-3.x, nlp, string-matching, fuzzy-search | 1,685,910,532 |
se_73032656 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Pyspark error - Invalid argument, not a string or column while implementing inside pandas_udf | Pyspark error - Invalid argument, not a string or column while implementing inside pandas_udf
This code is working fine outside the pandas_udf but getting this error while trying to implement the same inside udf. To avoid conflicts between pyspark and python function names, I have explicitly imported specific function... | https://stackoverflow.com/questions/73032656/pyspark-error-invalid-argument-not-a-string-or-column-while-implementing-insi | python, machine-learning, pyspark, nlp, pandas-udf | 1,658,215,113 |
se_12206276 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to check if given word is in plural or singular form? | How to check if given word is in plural or singular form?
Question like in topic - I'm trying to do that in python for app in Google App Engine. I know PyEnchant library is used for natural language recognition but I don't see if I can use it for my problem and how. | https://stackoverflow.com/questions/12206276/how-to-check-if-given-word-is-in-plural-or-singular-form | python, nlp | 1,346,364,557 |
se_24007912 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How To Detect Is Text Human Readable? | How To Detect Is Text Human Readable?
I am wondering if there's a way to tell a given text is human readable. By human readable, I mean: it has some meanings, format like an article written by somebody, or at least generated by a software translator that is intended to be read by a human.
Here's the background story:... | https://stackoverflow.com/questions/24007912/how-to-detect-is-text-human-readable | android, ios, nlp | 1,401,774,257 |
se_71581197 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What is the loss function used in Trainer from the Transformers library of Hugging Face? | What is the loss function used in Trainer from the Transformers library of Hugging Face?
What is the loss function used in Trainer from the Transformers library of Hugging Face?
I am trying to fine tune a BERT model using the Trainer class from the Transformers library of Hugging Face.
In their documentation, they men... | https://stackoverflow.com/questions/71581197/what-is-the-loss-function-used-in-trainer-from-the-transformers-library-of-huggi | python, machine-learning, nlp, artificial-intelligence, huggingface-transformers | 1,648,002,951 |
se_79393930 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why is my BERT model producing NaN loss during training for multi-label classification on imbalanced data? | Why is my BERT model producing NaN loss during training for multi-label classification on imbalanced data?
Iโm running into a frustrating issue while training a BERT-based multi-label text classification model on an imbalanced dataset. After a few epochs, the training loss suddenly becomes NaN, and I canโt seem to fig... | https://stackoverflow.com/questions/79393930/why-is-my-bert-model-producing-nan-loss-during-training-for-multi-label-classifi | deep-learning, nlp, bert-language-model, multilabel-classification, imbalanced-data | 1,738,069,395 |
se_77074676 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ImportError: cannot import name 'deprecated' from 'typing_extensions' | ImportError: cannot import name 'deprecated' from 'typing_extensions'
I want to download spacy, but the version of typing-extensions is lowered in the terminal:
ERROR: pydantic 2.3.0 has requirement typing-extensions>=4.6.1, but you'll have typing-extensions 4.4.0 which is incompatible.
ERROR: pydantic... | https://stackoverflow.com/questions/77074676/importerror-cannot-import-name-deprecated-from-typing-extensions | python, pip, nlp, spacy, python-typing | 1,694,314,709 |
se_67427823 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What is the difference between Transformer encoder vs Transformer decoder vs Transformer encoder-decoder? | What is the difference between Transformer encoder vs Transformer decoder vs Transformer encoder-decoder?
I know that GPT uses Transformer decoder, BERT uses Transformer encoder, and T5 uses Transformer encoder-decoder. But can someone help me understand why GPT only uses the decoder, BERT only uses encoder, and T5 us... | https://stackoverflow.com/questions/67427823/what-is-the-difference-between-transformer-encoder-vs-transformer-decoder-vs-tra | nlp, bert-language-model, generative-pretrained-transformer | 1,620,350,481 |
se_79390234 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Cuda out of memory while training | Cuda out of memory while training
I'm trying to finetune a base model with my own data using prompts, however I keep getting this error:
OutOfMemoryError: CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 79.25 GiB of which 177.50 MiB is free. Process 230359 has 79.07 GiB memory in use. ... | https://stackoverflow.com/questions/79390234/cuda-out-of-memory-while-training | nlp, tokenize, large-language-model, fine-tuning | 1,737,969,820 |
se_75794919 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to segment and transcribe an audio from a video into timestamped segments? | How to segment and transcribe an audio from a video into timestamped segments?
I want to segment a video transcript into chapters based on the content of each line of speech. The transcript would be used to generate a series of start and end timestamps for each chapter. This is similar to how YouTube now "auto-chapter... | https://stackoverflow.com/questions/75794919/how-to-segment-and-transcribe-an-audio-from-a-video-into-timestamped-segments | python, machine-learning, nlp, openai-api, automatic-speech-recognition | 1,679,343,286 |
se_79386385 | stackoverflow | ARTIFICIAL_INTELLIGENCE | I am getting error while running this line of code gnb.fit(df_train, y_train) | I am getting error while running this line of code gnb.fit(df_train, y_train)
Title: ValueError: could not convert string to float when training GaussianNB for SMS Spam Detection
Body:
I'm building an SMS spam detection tool and encountering an error while predicting with a GaussianNB model. Here's the error message:
... | https://stackoverflow.com/questions/79386385/i-am-getting-error-while-running-this-line-of-code-gnb-fitdf-train-y-train | python, nlp, nltk, gaussian | 1,737,792,596 |
se_79385917 | stackoverflow | ARTIFICIAL_INTELLIGENCE | torch.OutOfMemoryError: CUDA out of memory. (Google Colab) | torch.OutOfMemoryError: CUDA out of memory. (Google Colab)
I tried to adapt the mBERT model to an existing code. However, I received the following issue even though I tried different solutions.
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 14.75 GiB of which 9.0... | https://stackoverflow.com/questions/79385917/torch-outofmemoryerror-cuda-out-of-memory-google-colab | python, nlp, google-colaboratory, bert-language-model | 1,737,762,079 |
se_54510289 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Transformer - Attention is all you need - encoder decoder cross attention | Transformer - Attention is all you need - encoder decoder cross attention
It is my understanding that each encoder block takes the output from the previous encoder, and that the output is the attended representation (Z) of the sequence (aka sentence). My question is, how does the last encoder block produce K, V from ... | https://stackoverflow.com/questions/54510289/transformer-attention-is-all-you-need-encoder-decoder-cross-attention | deep-learning, nlp, attention-model | 1,549,255,842 |
se_79372521 | stackoverflow | ARTIFICIAL_INTELLIGENCE | TypeError: isinstance() arg 2 must be a type or tuple of types with collections search in Weaviate | TypeError: isinstance() arg 2 must be a type or tuple of types with collections search in Weaviate
I have the following code:
from weaviate.classes.query import MetadataQuery
import weaviate
from langchain_huggingface import HuggingFaceEmbeddings
embedding_model = HuggingFaceEmbeddings(model_name = 'sentence-transfor... | https://stackoverflow.com/questions/79372521/typeerror-isinstance-arg-2-must-be-a-type-or-tuple-of-types-with-collections | python-3.x, nlp, vector-database, rag, weaviate | 1,737,403,244 |
se_57213165 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Loading pickle NotFittedError: TfidfVectorizer - Vocabulary wasn't fitted | Loading pickle NotFittedError: TfidfVectorizer - Vocabulary wasn't fitted
multilabel classification
I am trying to predict a multilabel classification using scikit-learn/pandas/OneVsRestClassifier/logistic regression. Building and evaluating the model works but attempting to classify new sample text does not.
scen... | https://stackoverflow.com/questions/57213165/loading-pickle-notfittederror-tfidfvectorizer-vocabulary-wasnt-fitted | python-3.x, machine-learning, nlp, pickle, tfidfvectorizer | 1,564,114,865 |
se_79367089 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is it possible to Fine-Tune TinyBERT on Mac (M1 chip)? | Is it possible to Fine-Tune TinyBERT on Mac (M1 chip)?
Does fine-tuning require huge resources, or is it possible to do this task on the local machine as well? I have an Apple M1 (8GB RAM). I know bigger models GPU access but what about TinyBERT? My training dataset has 100,000 samples for your reference. | https://stackoverflow.com/questions/79367089/is-it-possible-to-fine-tune-tinybert-on-mac-m1-chip | deep-learning, nlp, huggingface-transformers, text-classification, fine-tuning | 1,737,201,482 |
se_66193575 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why is the vocab size of Byte level BPE smaller than Unicode's vocab size? | Why is the vocab size of Byte level BPE smaller than Unicode's vocab size?
I recently read GPT2 and the paper says:
This would result in a base vocabulary of over 130,000 before any multi-symbol tokens are added. This is prohibitively large compared to the 32,000 to 64,000 token vocabularies often used with BPE.... | https://stackoverflow.com/questions/66193575/why-is-the-vocab-size-of-byte-level-bpe-smaller-than-unicodes-vocab-size | unicode, utf-8, nlp | 1,613,290,654 |
se_70572939 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Removing various symbols from a text | Removing various symbols from a text
I am trying to clean some texts that are very different from one another. I would like to remove the headlines, quotation marks, abbreviations, special symbols and points that don't actually end sentences.
Example input:
This is a headline
And inside the text there are 'abbreviati... | https://stackoverflow.com/questions/70572939/removing-various-symbols-from-a-text | python, string, text, replace, nlp | 1,641,256,901 |
se_79362647 | stackoverflow | ARTIFICIAL_INTELLIGENCE | SHAP for transformer-based Regression | SHAP for transformer-based Regression
I'm developing a transformer-based regression model using a classification model with num labels set to 1 so that it can be used for regression.
from transformers import AutoTokenizer, AutoModelForSequenceClassification, DataCollatorWithPadding
from torch.utils.data import DataLoa... | https://stackoverflow.com/questions/79362647/shap-for-transformer-based-regression | nlp, regression, huggingface-transformers, text-classification, shap | 1,737,050,549 |
se_69596496 | stackoverflow | ARTIFICIAL_INTELLIGENCE | (with cpu)Pytorch: IndexError: index out of range in self. (with cuda)Assertion `srcIndex < srcSelectDimSize` failed. How to solve? | (with cpu)Pytorch: IndexError: index out of range in self. (with cuda)Assertion `srcIndex < srcSelectDimSize` failed. How to solve?
Today I get the following error when I use BERT with Pytorch and cuda: /pytorch/aten/src/ATen/native/cuda/Indexing.cu:702: indexSelectLargeIndex: block: [234,0,0], thread: [0,0,0] Asse... | https://stackoverflow.com/questions/69596496/with-cpupytorch-indexerror-index-out-of-range-in-self-with-cudaassertion | python, machine-learning, nlp, pytorch, bert-language-model | 1,634,394,516 |
se_69150110 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Problem in tqdm function in a Doc2Vec model | Problem in tqdm function in a Doc2Vec model
I am using this article https://actsusanli.medium.com/ to implement the Doc2Vec model and I have a problem in the training step.
model_dbow.train(utils.shuffle([x for x in tqdm(train_tagged.values)]), total_examples=len(train_tagged.values), epochs = 40)
As you can see, I a... | https://stackoverflow.com/questions/69150110/problem-in-tqdm-function-in-a-doc2vec-model | python, nlp, doc2vec, tqdm | 1,631,438,783 |
se_9538425 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is there a database, API, or parsable text for getting verb conjugations? | Is there a database, API, or parsable text for getting verb conjugations?
This isn't directly a programming question, so I apologize in advance. I've been working on a grammar-free random sentence generator for a typing game I'd like to make, and I've been having a difficult time finding any parsable (or callable) dat... | https://stackoverflow.com/questions/9538425/is-there-a-database-api-or-parsable-text-for-getting-verb-conjugations | nlp | 1,330,712,660 |
se_15574915 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Stanford Core NLP how to get the probability & margin of error | Stanford Core NLP how to get the probability & margin of error
When using the parser or for the matter any of the Annotation in Core NLP, is there a way to access the probability or the margin of error?
I am particularly interested in detecting ambiguity programmatically. For example, in the sentence below, desire... | https://stackoverflow.com/questions/15574915/stanford-core-nlp-how-to-get-the-probability-margin-of-error | nlp, stanford-nlp, pos-tagger | 1,363,968,557 |
se_79347073 | stackoverflow | ARTIFICIAL_INTELLIGENCE | WebSocket Error 403 During Handshake with ElevenLabs API | WebSocket Error 403 During Handshake with ElevenLabs API
Iโm working on a conversational AI website, and Iโm using the ElevenLabs API for voice generation and conversation handling. However, Iโve run into a problem when trying to establish a WebSocket connection to their API.
Here are the details of the issue:
Termina... | https://stackoverflow.com/questions/79347073/websocket-error-403-during-handshake-with-elevenlabs-api | next.js, nlp, artificial-intelligence, conversational-ai, elevenlabs | 1,736,544,300 |
se_59008046 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Extracting English imperative mood from verb tags with spaCy | Extracting English imperative mood from verb tags with spaCy
I would like to detect the imperative mood of verbs in English sentences. From this question I'm aware that spaCy has access to extended morphological features, but I don't see them when I use it, using spaCy version 2.1.8, Python 3.7.1:
>>> import spacy
>>... | https://stackoverflow.com/questions/59008046/extracting-english-imperative-mood-from-verb-tags-with-spacy | python-3.x, nlp, spacy | 1,574,514,957 |
se_71083239 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Unable to install sentence-transformers, getting error | Unable to install sentence-transformers, getting error
Running below command after installing python 3.10.
pip3 install -U sentence-transformers
List item
ERROR: Cannot install sentence-transformers==0.1.0, sentence-transformers==0.2.0, sentence-transformers==0.2.1, sentence-transformers==0.2.2, sentence-transformer... | https://stackoverflow.com/questions/71083239/unable-to-install-sentence-transformers-getting-error | python, nlp | 1,644,596,039 |
se_79256112 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to log only the current script file to W&B code panel immediately? | How to log only the current script file to W&B code panel immediately?
How can I ensure that only the current script file (e.g., train.py) is logged to the W&B Code panel when running a script, without logging the entire directory?
Currently, I'm using:
wandb.run.log_code(f"./{os.path.basename(__file__)}")
I want... | https://stackoverflow.com/questions/79256112/how-to-log-only-the-current-script-file-to-wb-code-panel-immediately | deep-learning, nlp, wandb | 1,733,429,481 |
se_79347444 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can one get the LLM model name and version using Google AI Edge SDK? | How can one get the LLM model name and version using Google AI Edge SDK?
I use Google AI Edge SDK to call an on-device LLM (example app). How can I get the LLM model name and version that my code uses?
https://developer.android.com/ai/gemini-nano says it uses Gemini Nano:
but there are at least 2 versions of Gemini N... | https://stackoverflow.com/questions/79347444/how-can-one-get-the-llm-model-name-and-version-using-google-ai-edge-sdk | android, nlp, large-language-model | 1,736,563,378 |
se_79345691 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Issues with nltk's ne_chunk | Issues with nltk's ne_chunk
I have been trying to use nltk's entity chunker, and tried different approaches but I keep getting the error:
LookupError Traceback (most recent call last)
...
8 pos_sentences = [nltk.pos_tag(sent) for sent in token_sentences]
10 # Create ... | https://stackoverflow.com/questions/79345691/issues-with-nltks-ne-chunk | python, nlp, nltk, pos-tagger, ent | 1,736,511,554 |
se_79344668 | stackoverflow | ARTIFICIAL_INTELLIGENCE | word reduction of a list of words | word reduction of a list of words
Besides using a chatbot like o1 mini, is there more local way to reduce a list of words from 10 words down to 3 words? I feel that due to context, word association, semantic meanings of the words, a there has to be some form of extrapolation to reduce the list but so far my attempts h... | https://stackoverflow.com/questions/79344668/word-reduction-of-a-list-of-words | python, nlp | 1,736,485,950 |
se_10383044 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Fuzzy String Comparison | Fuzzy String Comparison
What I am striving to complete is a program which reads in a file and will compare each sentence according to the original sentence. The sentence which is a perfect match to the original will receive a score of 1 and a sentence which is the total opposite will receive a 0. All other fuzzy sente... | https://stackoverflow.com/questions/10383044/fuzzy-string-comparison | python, nlp, fuzzy-comparison | 1,335,785,840 |
se_58636587 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I use BERT for long text classification? | How can I use BERT for long text classification?
We know that BERT has a maximum length limit of tokens = 512. So if an article has a length of much bigger than 512, such as 10000 tokens in text, how can BERT be used? | https://stackoverflow.com/questions/58636587/how-can-i-use-bert-for-long-text-classification | nlp, text-classification, bert-language-model | 1,572,492,851 |
se_79162350 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is there any flag to stop langgraph for further executing? | Is there any flag to stop langgraph for further executing?
I want to create a interviewing bot that may ask 5 questions. The questions are specified in the system prompt. I just want the langgraph to stop execution when 5 certain questions are asked.
I tried quick start of the langgraph official docs. I read the docum... | https://stackoverflow.com/questions/79162350/is-there-any-flag-to-stop-langgraph-for-further-executing | python, nlp, chatbot, large-language-model, langgraph | 1,730,891,670 |
se_79330283 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Can't compile Marian NMT | Can't compile Marian NMT
I'm using endeavouros. I'm trying to compile Marian with these instructions: https://marian-nmt.github.io/docs/#installation. But it fails.
The error message seemingly indicates a conflict between the code and c++20. But in all the CMakeLists.txt files of the repo, there is the line set (C... | https://stackoverflow.com/questions/79330283/cant-compile-marian-nmt | gcc, cmake, nlp, g++ | 1,736,057,099 |
se_29151329 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Arabic lemmatization and Stanford NLP | Arabic lemmatization and Stanford NLP
I try to make lemmatization, ie identifying the lemma and possibly the Arabic root of a verb, for example:
ูุชุตู ==> lemma (infinitive of the verb) ==> ุงุชุตู ==> root (triliteral root / Jidr thoulathi)
==> ู ุต ู
Do you think Stanford NLP can do that?
Best Regards, | https://stackoverflow.com/questions/29151329/arabic-lemmatization-and-stanford-nlp | nlp, stanford-nlp, lexical-analysis, stemming, lemmatization | 1,426,786,434 |
se_76914119 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Validation and Training Loss when using HuggingFace | Validation and Training Loss when using HuggingFace
I do not seem to find an explanation on how the validation and training losses are calculated when we finetune a model using the huggingFace trainer. Does anyone know here to find this information? | https://stackoverflow.com/questions/76914119/validation-and-training-loss-when-using-huggingface | nlp, huggingface-transformers, huggingface, huggingface-trainer | 1,692,192,967 |
se_79328514 | stackoverflow | ARTIFICIAL_INTELLIGENCE | how to get custom column in the model's forward() function when training with Huggingface Trainer? | how to get custom column in the model's forward() function when training with Huggingface Trainer?
I am using Huggingface Trainer to train a cumstom model subclassing a Llama llm. After tokenized by the tokenizer, my dataset has these fields 'input_ids', 'labels' and so on, and I additionally add 2 custom colunms ... | https://stackoverflow.com/questions/79328514/how-to-get-custom-column-in-the-models-forward-function-when-training-with-hu | pytorch, nlp, large-language-model, huggingface-trainer | 1,735,981,064 |
se_27943396 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Using WN-Affect to detect emotion/mood of a string | Using WN-Affect to detect emotion/mood of a string
I downloaded WN-Affect. I am however not sure how to use it to detect the mood of a sentence. For example if I have a string "I hate football." I want to be able to detect whether the mood is bad and the emotion is fear. WN-Affect has no tutorial on how to do it, and... | https://stackoverflow.com/questions/27943396/using-wn-affect-to-detect-emotion-mood-of-a-string | python, nlp, nltk, sentiment-analysis, wordnet | 1,421,239,891 |
se_2644345 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Which is better? OpenCyc or ConceptNet? | Which is better? OpenCyc or ConceptNet?
I'm doing a NLP project where I need to recognise concepts in sentences to find other similar concepts. I do this to infer word valences from a list I already have. I started using WordNet, but it gave many contradictory results. By contradictory results I mean word expansions t... | https://stackoverflow.com/questions/2644345/which-is-better-opencyc-or-conceptnet | nlp, wordnet, conceptnet | 1,271,326,204 |
se_78744043 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How do I install language model for spacy on Kaggle? | How do I install language model for spacy on Kaggle?
Aloha! Everybody knows how to install model at home:
python -m spacy download ru_core_news_md
But since python notebook on Kaggle is isolated of the global web, it does not seem possible to do so.
Of course, I can download ru_core_news_sm-3.7.0-py3-none-any.whl fi... | https://stackoverflow.com/questions/78744043/how-do-i-install-language-model-for-spacy-on-kaggle | python, nlp, spacy, kaggle | 1,720,879,213 |
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