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 |
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se_78916012 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Layer expects 2 input(s), but it received 1 input tensors | Layer expects 2 input(s), but it received 1 input tensors
I am trying to build model to predict posts likes, the model takes text and content type which is one hot encoded column.
I have made a TensorFlow dataset but when trying to fit the model I got this error:
Layer "functional_13" expects 2 input(s), but it receiv... | https://stackoverflow.com/questions/78916012/layer-expects-2-inputs-but-it-received-1-input-tensors | python, tensorflow, machine-learning, deep-learning, nlp | 1,724,700,262 |
se_74124714 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What is the best way to remove rare words from a large text? | What is the best way to remove rare words from a large text?
The dataset contains 2.14M words
The following is my code.
uni = get_unique(ds) #to get all unique words
c = Counter(uni) #using counter from Collections to create a dictionary
v = list(c.values()) #dict value
ky = list(c.keys()) #dicks keys
junk = [] #in... | https://stackoverflow.com/questions/74124714/what-is-the-best-way-to-remove-rare-words-from-a-large-text | python-3.x, nlp | 1,666,179,728 |
se_78900149 | stackoverflow | ARTIFICIAL_INTELLIGENCE | My LSTM model returns empty with no output and no parameters captured | My LSTM model returns empty with no output and no parameters captured
I am building an LSTM model for sentiment analysis using a hotel review dataset. However, the model always returns empty with empty output and parameters each time I run the code.
I have followed many processes from cleaning to tokenization, vectori... | https://stackoverflow.com/questions/78900149/my-lstm-model-returns-empty-with-no-output-and-no-parameters-captured | python, nlp, vectorization, lstm, sequencing | 1,724,309,938 |
se_78917743 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Process Data on GPU Instead of RAM for This Python Code? | How to Process Data on GPU Instead of RAM for This Python Code?
I'm currently using the following code to process audio data, but it runs on the RAM. I want to offload the processing to the GPU to improve performance.
my code :
def prepare_dataset(batch):
audio = batch["audio"]
batch["input_features"] = featur... | https://stackoverflow.com/questions/78917743/how-to-process-data-on-gpu-instead-of-ram-for-this-python-code | nlp, gpu, torch, openai-whisper | 1,724,745,808 |
se_78905620 | stackoverflow | ARTIFICIAL_INTELLIGENCE | TypeError: ForwardRef._evaluate() missing 1 required keyword-only argument: 'recursive_guard' | TypeError: ForwardRef._evaluate() missing 1 required keyword-only argument: 'recursive_guard'
Pls help. I need help setting up spacy inside jupyter enviornment
I am trying to use spacy to summarize youtube transcripts but finding lots of problems with spacy and python 3.12.4/3.12.3.
I started with 3.12.4, then... | https://stackoverflow.com/questions/78905620/typeerror-forwardref-evaluate-missing-1-required-keyword-only-argument-rec | python, python-3.x, nlp, spacy, sentence | 1,724,411,655 |
se_78892215 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Spacy/Torch fbgemm dependency | Spacy/Torch fbgemm dependency
I'm trying to work with spacy to do some nlp in Python. Just for some background, I'm running on a windows PC with an Intel UHD Graphics card (So no cuda).
I tried installing the cpu form of pytorch with
pip3 install torch torchvision torchaudio as per the website, and I tried pip install... | https://stackoverflow.com/questions/78892215/spacy-torch-fbgemm-dependency | python, pytorch, nlp, spacy | 1,724,153,755 |
se_75912852 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Input 0 of layer "lstm_1" is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 256) | Input 0 of layer "lstm_1" is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (None, 256)
I am trying to build a generative LSTM model using tensorflow2. I am new to using LSTM layer in tensorflow. the code is given below::
vec = layers.TextVectorization(output_sequence_length... | https://stackoverflow.com/questions/75912852/input-0-of-layer-lstm-1-is-incompatible-with-the-layer-expected-ndim-3-found | keras, nlp, lstm, tensorflow2.0 | 1,680,448,274 |
se_78912171 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Visualize Cross-Attention Matrices in MarianMTModel During Output Generation | How to Visualize Cross-Attention Matrices in MarianMTModel During Output Generation
I am working on a machine translation task using the MarianMTModel from the Hugging Face transformers library. Specifically, I want to visualize the cross-attention matrices during the model's translation process. However, I encountere... | https://stackoverflow.com/questions/78912171/how-to-visualize-cross-attention-matrices-in-marianmtmodel-during-output-generat | python, pytorch, nlp, huggingface-transformers | 1,724,616,834 |
se_78661728 | stackoverflow | ARTIFICIAL_INTELLIGENCE | implement a search engine chain using tavily in langchain | implement a search engine chain using tavily in langchain
I want to implement a search engine chain using tavily in langchain. This chain gives user's query as an input and returns up to 5 related documents. Each retrieved document must have the content of the document as page_content and the url of the corresponding ... | https://stackoverflow.com/questions/78661728/implement-a-search-engine-chain-using-tavily-in-langchain | python, nlp, search-engine, langchain, chain | 1,719,223,266 |
se_68114414 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to load a percentage of data from huggingface load_dataset | How to load a percentage of data from huggingface load_dataset
I am trying to download the "librispeech_asr" dataset which totals 29GB, but due to limited space in google colab, I'm not able to download/load the dataset i.e. the notebook crashes.
So I did some research and found the split argument that we can pass in ... | https://stackoverflow.com/questions/68114414/how-to-load-a-percentage-of-data-from-huggingface-load-dataset | python, nlp, speech-recognition, huggingface-transformers, huggingface-datasets | 1,624,532,112 |
se_78905614 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why doesn't permuting positional encodings in BERT affect the output as expected? | Why doesn't permuting positional encodings in BERT affect the output as expected?
I am working on a Jupyter notebook about Transformers. In the section on positional encodings, I want to demonstrate that the Transformer relies entirely on positional encoding to understand the order of the sequence. I previously le... | https://stackoverflow.com/questions/78905614/why-doesnt-permuting-positional-encodings-in-bert-affect-the-output-as-expected | python, pytorch, nlp, huggingface-transformers | 1,724,411,528 |
se_78901998 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How does OpenAIEmbeddings() work? Is it creating a single vector of size 1536 for whole text corpus? | How does OpenAIEmbeddings() work? Is it creating a single vector of size 1536 for whole text corpus?
I'm working with the OpenAIEmbeddings() class from OpenAI, which uses the text-embedding-3-small model. According to the documentation, it generates a 1536-dimensional vector for any input text.
However, I'm a bit conf... | https://stackoverflow.com/questions/78901998/how-does-openaiembeddings-work-is-it-creating-a-single-vector-of-size-1536-fo | deep-learning, nlp, openai-api, openaiembeddings | 1,724,335,765 |
se_78901247 | stackoverflow | ARTIFICIAL_INTELLIGENCE | UDPipe 2 Models in R | UDPipe 2 Models in R
I am not entirely happy with udpipe 2.5. Latin models available through the library udpipe, and looking for a way to use newer (2.12 or 2.14) models listed here.
However, it seems that they are only available in Python:
Compared to UDPipe 1, it is Python-only, it does not perform tokenization, an... | https://stackoverflow.com/questions/78901247/udpipe-2-models-in-r | r, nlp, udpipe | 1,724,325,104 |
se_74494620 | stackoverflow | ARTIFICIAL_INTELLIGENCE | spacy doc.char_span raises error whenever there is any number in string | spacy doc.char_span raises error whenever there is any number in string
I was trying to train a model from spacy. I have strings and their token offsets saved into the JSON file.
I have read that file using utf-8 encoding and there is no special character in it. But it raises TypeError: object of type 'NoneType' has n... | https://stackoverflow.com/questions/74494620/spacy-doc-char-span-raises-error-whenever-there-is-any-number-in-string | python, json, nlp, spacy, spacy-3 | 1,668,800,709 |
se_72298933 | stackoverflow | ARTIFICIAL_INTELLIGENCE | RuntimeError: Expected 3-dimensional tensor, but got 2-dimensional tensor for argument | RuntimeError: Expected 3-dimensional tensor, but got 2-dimensional tensor for argument
I have two tensors names: wy and x, both of them with size 8:
import torch
wy = torch.tensor([[7.2, -2.9, 5.2, -8.4, -3.8, -6.9, 7.4, -8.1]])
x = torch.tensor([[70., 77., 101., 75., 40., 83., 48., 73.]])
Now, I want to do bmm to ... | https://stackoverflow.com/questions/72298933/runtimeerror-expected-3-dimensional-tensor-but-got-2-dimensional-tensor-for-ar | python, pytorch, nlp, matrix-multiplication, allennlp | 1,652,937,210 |
se_57543359 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Poor lemmatization in Apple's Natural Language framework | Poor lemmatization in Apple's Natural Language framework
I did a quick experiment to check the accuracy of lemmatization in Apple's Natural Language framework and the results are quite poor.
I wonder if I am doing something wrong or if the framework is really that bad.
For the experiment, I used code straight fr... | https://stackoverflow.com/questions/57543359/poor-lemmatization-in-apples-natural-language-framework | ios, macos, nlp, lemmatization | 1,566,121,568 |
se_77094149 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to use both gpus in kaggle for training in pytorch? | How to use both gpus in kaggle for training in pytorch?
I was training a model in kaggle gpu.
But as I can see only one GPU is working.
I use the ordinary method for training like
device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
model = model.to(device)
How can I use both the gpus? | https://stackoverflow.com/questions/77094149/how-to-use-both-gpus-in-kaggle-for-training-in-pytorch | machine-learning, deep-learning, nlp, gpu, kaggle | 1,694,580,984 |
se_78887743 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Does Padding in a Batch of Sequences Affect Performance? How Effective is the Attention Mask? | Does Padding in a Batch of Sequences Affect Performance? How Effective is the Attention Mask?
In Transformer models, sequences of variable lengths are typically padded to the maximum length in a batch. However, if my sequence lengths vary significantly, the batch may contain a substantial amount of padding (potentiall... | https://stackoverflow.com/questions/78887743/does-padding-in-a-batch-of-sequences-affect-performance-how-effective-is-the-at | pytorch, nlp, huggingface-transformers, transformer-model | 1,724,068,146 |
se_74593919 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to evaluate SciSpaCy's entity linking | How to evaluate SciSpaCy's entity linking
I'm using SciSpaCy's Entity Linker with a custom knowledge base. As I'm updating some components of my application (e.g. the underlying language model, sentence tokenization pipeline, the knowledge base itself, etc), I'm noticing that (1) the number of entities that the ap... | https://stackoverflow.com/questions/74593919/how-to-evaluate-scispacys-entity-linking | nlp, spacy, entity-linking | 1,669,584,443 |
se_78461078 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to optimize this function and improve running time? | How to optimize this function and improve running time?
I have function aimed at creating a data-frame with three columns; bigram-phrase, count (of the bigram-phrase), and PMI score (for the bigram-phrase). Since I want to run this on a large dataset with over a million phrases, the compute time is incredibly long. I ... | https://stackoverflow.com/questions/78461078/how-to-optimize-this-function-and-improve-running-time | python, performance, optimization, nlp, nltk | 1,715,354,280 |
se_61221751 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why does importing NLTK in python gives error | Why does importing NLTK in python gives error
I upgraded NLTK to latest version and while import nltk, I get the following error
import nltk
File "C:\ProgramData\Anaconda2\lib\site-packages\nltk\tag\sequential.py", line 210
print("[Trained Unigram tagger:", end=" ")
^
Sy... | https://stackoverflow.com/questions/61221751/why-does-importing-nltk-in-python-gives-error | nlp, nltk, token | 1,586,927,514 |
se_78884336 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to parse multiple chunks in nltk? | How to parse multiple chunks in nltk?
is it possible to parse multiple chunks in a single nltk.regexp parser?
can grammar have multiple chunks define like this?
def parser(s):
grammar = """
NP: {<DT>?<JJ>*<NN>+}
VN: {<VB.?><DT>?<NN>}
"""
words = nltk.word_tokenize(s)
tagged_words = nltk.pos_tag... | https://stackoverflow.com/questions/78884336/how-to-parse-multiple-chunks-in-nltk | python, regex, nlp, nltk | 1,723,977,006 |
se_52039847 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Excluding the Header and Footer Contents of a page of a PDF file while extracting text? | Excluding the Header and Footer Contents of a page of a PDF file while extracting text?
Is it possible to exclude the contents of footers and headers of a page from a pdf file during extracting the text from it. As these contents are least important and almost redundant.
Note: For extracting the text from the .pdf fi... | https://stackoverflow.com/questions/52039847/excluding-the-header-and-footer-contents-of-a-page-of-a-pdf-file-while-extractin | python-3.x, pdf, text, nlp, pypdf | 1,535,374,402 |
se_78878132 | stackoverflow | ARTIFICIAL_INTELLIGENCE | how to extract data from website including all of its internal links in Python | how to extract data from website including all of its internal links in Python
I want to extract all the information from a website including from its internal links for the purpose of ceating chatbot for this website . how can i do this ?
I have scrap the main site like https://www.uetmardan.edu.pk/uetm/ but i want t... | https://stackoverflow.com/questions/78878132/how-to-extract-data-from-website-including-all-of-its-internal-links-in-python | web-scraping, nlp, chatbot, langchain, rag | 1,723,794,751 |
se_25735644 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Python - RegEx for splitting text into sentences (sentence-tokenizing) | Python - RegEx for splitting text into sentences (sentence-tokenizing)
I want to make a list of sentences from a string and then print them out. I don't want to use NLTK to do this. So it needs to split on a period at the end of the sentence and not at decimals or abbreviations or title of a name or if the sentence h... | https://stackoverflow.com/questions/25735644/python-regex-for-splitting-text-into-sentences-sentence-tokenizing | python, regex, nlp, tokenize | 1,410,227,757 |
se_78862691 | stackoverflow | ARTIFICIAL_INTELLIGENCE | `mlflow.transformers.log_model()` does not finish | `mlflow.transformers.log_model()` does not finish
Problem
I want to use mlflow.transformers.log_model() to log a finetuned huggingface model.
However, when the mlflow.transformers.log_model method is running, it simply does not finish - runs forever - throws no errors.
I suspect my configuration is not right, the mode... | https://stackoverflow.com/questions/78862691/mlflow-transformers-log-model-does-not-finish | python, nlp, huggingface-transformers, mlflow, mlops | 1,723,480,052 |
se_78781354 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Azure AI Search Scoring Profiles are not modifying the score retrival | Azure AI Search Scoring Profiles are not modifying the score retrival
I have been using Azure Ai search and scoring profiles to boost the documents of my index that come form the 'reviewed' source that means I want to send to the very TOP documents that have the string 'reviewed' on the field source, so I configured t... | https://stackoverflow.com/questions/78781354/azure-ai-search-scoring-profiles-are-not-modifying-the-score-retrival | python, azure, nlp, azure-ai-search | 1,721,702,234 |
se_76678783 | stackoverflow | ARTIFICIAL_INTELLIGENCE | langchain's chroma vectordb.similarity_search_with_score() and vectordb.similarity_search_with_relevancy_scores() returning the same output | langchain's chroma vectordb.similarity_search_with_score() and vectordb.similarity_search_with_relevancy_scores() returning the same output
I have been working with langchain's chroma vectordb. It has two methods for running similarity search with scores.
vectordb.similarity_search_with_score()
vectordb.similarit... | https://stackoverflow.com/questions/76678783/langchains-chroma-vectordb-similarity-search-with-score-and-vectordb-similari | nlp, langchain | 1,689,247,181 |
se_78823069 | stackoverflow | ARTIFICIAL_INTELLIGENCE | HuggingFace LLM Evaluate: RuntimeError: isin_Tensor_Tensor_out only works on floating types on MPS for pre MacOS_14_0. Received dtype: Long | HuggingFace LLM Evaluate: RuntimeError: isin_Tensor_Tensor_out only works on floating types on MPS for pre MacOS_14_0. Received dtype: Long
Context:
I tried to create an evaluation pipeline for a text summary task using HuggingFace evaluate packages. I got the issue of receiving dtype Long for the tensor, but I did no... | https://stackoverflow.com/questions/78823069/huggingface-llm-evaluate-runtimeerror-isin-tensor-tensor-out-only-works-on-flo | pytorch, nlp, apple-m1, huggingface, huggingface-evaluate | 1,722,547,156 |
se_76157465 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to do NLP fill-mask with restricted possible inputs | How to do NLP fill-mask with restricted possible inputs
I want to use NLP to fill in a masked word in a text, but instead of choosing from all possible words I want to find which is the more likely of two candidate words. For example, imagine I have a sentence "The [MASK] was stuck in the tree" and I want to evaluate ... | https://stackoverflow.com/questions/76157465/how-to-do-nlp-fill-mask-with-restricted-possible-inputs | nlp, mask, huggingface | 1,683,048,830 |
se_78864545 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to update an already Fine-tuned GPT2 model? | How to update an already Fine-tuned GPT2 model?
I have trained my model using GPT-2 for my dataset. It has been trained and is giving the correct output. Now, I want to train my model on more data while retaining the previously trained model. I do not want to create a new model; I only want to use the previous one wit... | https://stackoverflow.com/questions/78864545/how-to-update-an-already-fine-tuned-gpt2-model | nlp, dataset, huggingface-transformers, gpt-2 | 1,723,527,888 |
se_78865486 | stackoverflow | ARTIFICIAL_INTELLIGENCE | SpaCy Matcher with optional suffix in pattern reports multiple matches on same text | SpaCy Matcher with optional suffix in pattern reports multiple matches on same text
Using the following Matcher rule:
{'label': 'R-1',
'pattern': [{'TEXT': 'MyLabel'}, {'TEXT': ':', 'OP': '?'}],
'greedy': 'LONGEST', }
on the text: 'MyLabel: Some Value'
I get two matches: 'MyLabel' and 'MyLabel:'
For me, that was qu... | https://stackoverflow.com/questions/78865486/spacy-matcher-with-optional-suffix-in-pattern-reports-multiple-matches-on-same-t | nlp, spacy, matcher | 1,723,541,843 |
se_78870698 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is it necessary for torch_dtype when loading a model and the precision for trainable weights to be different? If so, why? | Is it necessary for torch_dtype when loading a model and the precision for trainable weights to be different? If so, why?
According to this comment in the huggingface/peft package, if a model is loaded in fp16, the trainable weights must be cast to fp32. From this comment, I understand that generally, the torch_dtype ... | https://stackoverflow.com/questions/78870698/is-it-necessary-for-torch-dtype-when-loading-a-model-and-the-precision-for-train | python, pytorch, nlp, huggingface-transformers, large-language-model | 1,723,635,568 |
se_78462357 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to use Spacy-PyTextRank in newer versions? | How to use Spacy-PyTextRank in newer versions?
I'm trying to do key phrase extraction with TextRank, I have installed 3.3.0 version, nltk and the en_core_web_trf are on 3.7.3, i dont know if this is the problem.
This is the error that I got
import pytextrank
nlp=spacy.load('en_core_web_trf')
nlp.add_pipe("textrank")
... | https://stackoverflow.com/questions/78462357/how-to-use-spacy-pytextrank-in-newer-versions | python, nlp, artificial-intelligence, spacy, textrank | 1,715,371,912 |
se_77636586 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Extracting titles from PDFs based on formatting via classification | Extracting titles from PDFs based on formatting via classification
I have about 20000 pdfs with probably 100 different layouts. Unfortunately, not all PDFs contain clean metadata. People are often lazy and did not always provide the title with it or sometimes a very short one or even worse just the file name as title.... | https://stackoverflow.com/questions/77636586/extracting-titles-from-pdfs-based-on-formatting-via-classification | python, pdf, nlp | 1,702,245,060 |
se_78859329 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Fairseq Installation Fails: Missing version.txt Error During Build Pyhton 3.11 how to fix? | Fairseq Installation Fails: Missing version.txt Error During Build Pyhton 3.11 how to fix?
I am trying to install the fairseq library using pip in a Conda environment, but the installation fails with the following error
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully... | https://stackoverflow.com/questions/78859329/fairseq-installation-fails-missing-version-txt-error-during-build-pyhton-3-11-h | nlp, huggingface-transformers, fairseq | 1,723,407,646 |
se_78857426 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Error when using inputs_embeds with generate method | Error when using inputs_embeds with generate method
I'm encountering a problem when trying to use inputs_embeds to pass the embedding to my model:
ValueError: You passed `inputs_embeds` to `.generate()`, but the model class LlamaForCausalLM doesn't have its forwarding implemented. See the GPT2 implementation for an ex... | https://stackoverflow.com/questions/78857426/error-when-using-inputs-embeds-with-generate-method | nlp, huggingface-transformers, large-language-model, embedding, word-embedding | 1,723,345,658 |
se_78853409 | stackoverflow | ARTIFICIAL_INTELLIGENCE | NLLB Fine-Tuning Error: Missing data_prefix Configuration (English-German Translation) | NLLB Fine-Tuning Error: Missing data_prefix Configuration (English-German Translation)
I'm attempting to fine-tune the NLLB model "facebook/nllb-200-distilled-600M" for a scientific translation task from English (eng_Latn) to German (deu_Latn). I followed the official guidelines for fine-tuning by authors of nllb.
Doc... | https://stackoverflow.com/questions/78853409/nllb-fine-tuning-error-missing-data-prefix-configuration-english-german-transl | python, nlp, machine-translation, fine-tuning, fairseq | 1,723,214,814 |
se_78520203 | stackoverflow | ARTIFICIAL_INTELLIGENCE | what are from_messages, from_template, format, format_messages in language? Can someone simplify? | what are from_messages, from_template, format, format_messages in language? Can someone simplify?
Can you give me the context on when to use and why of the above mentioned functions?
I tried reading the docs but couldn't understand much. Any referecnces to blogs or links for this would be helpful as well.
Here are the... | https://stackoverflow.com/questions/78520203/what-are-from-messages-from-template-format-format-messages-in-language-can | python, nlp, prompt, langchain | 1,716,416,123 |
se_76878134 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Where to find spacy.py file to rename | Where to find spacy.py file to rename
I am attempting to install spacy and have tried a number of methods using pip, conda, and installing directing from git. However, I am running into the same error:
---------------------------------------------------------------------------
AttributeError ... | https://stackoverflow.com/questions/76878134/where-to-find-spacy-py-file-to-rename | python, nlp, spacy | 1,691,689,245 |
se_28041012 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Closest match for job titles | Closest match for job titles
I have master list of known job titles and looking for ways to extract the same from the searched term. For example:
Searched job title: Senior Digital Marketing Specialist
Extracted to: Senior Digital Marketing
Searched job title: Retail In-Store Sales Assistant; Full Time
Extracted to:... | https://stackoverflow.com/questions/28041012/closest-match-for-job-titles | java, nlp, extract, data-analysis, summarization | 1,421,743,771 |
se_78836208 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Removing bi-grams after tokenization for TfidfVectorizer | Removing bi-grams after tokenization for TfidfVectorizer
I'm attempting to remove bi-grams that are created by TfidfVectorizer. I'm using text.TfidfVectorizer so that I can use my own preprocessor function.
Test strings and preprocessor function:
doc2 = ['this is a test past performance here is another that has aa aa... | https://stackoverflow.com/questions/78836208/removing-bi-grams-after-tokenization-for-tfidfvectorizer | python, scikit-learn, nlp, preprocessor, tfidfvectorizer | 1,722,887,200 |
se_68472183 | stackoverflow | ARTIFICIAL_INTELLIGENCE | word-embedding: Convert supervised model into unsupervised model | word-embedding: Convert supervised model into unsupervised model
I want to load an pre-trained embedding to initialize my own unsupervise FastText model and retrain with my dataset.
The trained embedding file I have loads fine with gensim.models.KeyedVectors.load_word2vec_format('model.txt'). But when I try:
FastText.... | https://stackoverflow.com/questions/68472183/word-embedding-convert-supervised-model-into-unsupervised-model | python, nlp, gensim, unsupervised-learning, fasttext | 1,626,880,722 |
se_78838899 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to find a text name of Tool classes in LangChain? | How to find a text name of Tool classes in LangChain?
The LangChain documentation states that it offers integrations with various services and APIs to let agents interact with the world. These agents are mostly available under langchain_community or langchain_core packages.
Code examples show that tools can be loaded ... | https://stackoverflow.com/questions/78838899/how-to-find-a-text-name-of-tool-classes-in-langchain | nlp, langchain | 1,722,945,373 |
se_50821166 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Difference between CBOW and Skipgram gradients in word2vec? | Difference between CBOW and Skipgram gradients in word2vec?
Why are f values that are greater than or lower than MAX_EXP taken into account during the updates in CBOW, but ignored in Skipgram?
I'm specifically looking at the Google implementation of word2vec, but the same functionality has been replicated throughout... | https://stackoverflow.com/questions/50821166/difference-between-cbow-and-skipgram-gradients-in-word2vec | c++, nlp, word2vec | 1,528,818,501 |
se_78828397 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Polars/Spark/SQL Standardize similar company names in table column | Polars/Spark/SQL Standardize similar company names in table column
I have a table with a column of company names. The same company can appear with a variety of names (e.g. 'Ciao', 'Ciao Inc', 'Ciao Inc User').
I want to provide the same company under different names with a unique identifier, as per the following examp... | https://stackoverflow.com/questions/78828397/polars-spark-sql-standardize-similar-company-names-in-table-column | python, sql, pyspark, nlp, python-polars | 1,722,679,070 |
se_78823329 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Text summarization with deep learning | Text summarization with deep learning
I'm finetuning the Mt5 model on the Arabic part of the Xl-sum data set
For ten epochs and the resulted manipulation model was stored in hugging face library, there were good results on the training and the validation loss as well as the Rouge measure was around 60, but when doing... | https://stackoverflow.com/questions/78823329/text-summarization-with-deep-learning | python, pandas, dataframe, nlp, model | 1,722,554,724 |
se_78822037 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Guidance on Extracting Compliance Items from PDF documents by fine-tuning a LLM | Guidance on Extracting Compliance Items from PDF documents by fine-tuning a LLM
Need some guidance on extracting large compliance items from raw PDF documents. I have csv with these compliance items and I want to fine-tune a LLM such that if it reads any new PDF documents it can firstly identify the compliance items a... | https://stackoverflow.com/questions/78822037/guidance-on-extracting-compliance-items-from-pdf-documents-by-fine-tuning-a-llm | nlp, large-language-model, text-extraction | 1,722,529,399 |
se_78424055 | stackoverflow | ARTIFICIAL_INTELLIGENCE | "torch.cuda.OutOfMemoryError: CUDA out of memory" when loading llama model with Flan v2 dataset | "torch.cuda.OutOfMemoryError: CUDA out of memory" when loading llama model with Flan v2 dataset
I am trying to fine tune the llama model meta-llama/Meta-Llama-3-8B-Instruct on the Flan v2 dataset FlanV2. I have an experiment function that is the first thing that will be run, where I try to load my model
impo... | https://stackoverflow.com/questions/78424055/torch-cuda-outofmemoryerror-cuda-out-of-memory-when-loading-llama-model-with | python, pytorch, nlp, huggingface-transformers, llama | 1,714,731,354 |
se_43377265 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Determine if text is in English? | Determine if text is in English?
I am using both Nltk and Scikit Learn to do some text processing. However, within my list of documents I have some documents that are not in English. For example, the following could be true:
[ "this is some text written in English",
"this is some more text written in English",
... | https://stackoverflow.com/questions/43377265/determine-if-text-is-in-english | python, scikit-learn, nlp, nltk | 1,492,022,492 |
se_76476765 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Training LLM to perform text classification | Training LLM to perform text classification
I am trying to perform text classification using GPTNeo, using the tweet_eval dataset from huggingface. I am following this example https://huggingface.co/docs/transformers/tasks/sequence_classification, but there is some error. I am a beginner at LLMs and it will be very he... | https://stackoverflow.com/questions/76476765/training-llm-to-perform-text-classification | nlp, huggingface, large-language-model | 1,686,769,102 |
se_78809281 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ImportError: cannot import name 'pre_init' from 'langchain_core.utils' | ImportError: cannot import name 'pre_init' from 'langchain_core.utils'
When I want to install langchain libraries from requirements.txt I'm getting
ImportError: cannot import name 'pre_init' from 'langchain_core.utils'
I've tried to install libraries from terminal using these commands :
pip install g... | https://stackoverflow.com/questions/78809281/importerror-cannot-import-name-pre-init-from-langchain-core-utils | python, pip, nlp, langchain, large-language-model | 1,722,293,953 |
se_69874966 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to process a very long document in spaCy? | How to process a very long document in spaCy?
I'm trying to perform a NLP analysis of a text in Spanish. So, to do lemmatization I'm using Spacy, because NLTK has not a Spanish version for lemma. The problem with Spacy is that I a have restriction in the numbers of words that I can pass through Lemmatizer:
ValueError... | https://stackoverflow.com/questions/69874966/how-to-process-a-very-long-document-in-spacy | nlp, spacy, lemmatization | 1,636,306,633 |
se_78801734 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Classifying texts using word embeddings | Classifying texts using word embeddings
I'm trying to train a model that is able to classify short texts (200-600 words per text). I got a training set with their corresponding labels, and a text might have one or more labels.
My first approach was to use TF-IDF with Naive Bayes but it wasn't performing very well. But... | https://stackoverflow.com/questions/78801734/classifying-texts-using-word-embeddings | text, nlp, classification, text-classification, openaiembeddings | 1,722,092,843 |
se_78801372 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Huggingface Mistral-Nemo-Instruct-2407 python script for text generation just hanging on Mac M3? | Huggingface Mistral-Nemo-Instruct-2407 python script for text generation just hanging on Mac M3?
I installed pytorch, transformers, and python-dotenv to run this script:
from transformers import pipeline
from dotenv import load_dotenv
import torch
import os
import json
# from transformers import AutoTokenizer, AutoMo... | https://stackoverflow.com/questions/78801372/huggingface-mistral-nemo-instruct-2407-python-script-for-text-generation-just-ha | python, pytorch, nlp, huggingface-transformers, text-generation | 1,722,083,080 |
se_77512691 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Retrieval-augmented generation without OpenAIEmbeddings | Retrieval-augmented generation without OpenAIEmbeddings
I'm playing with HuggingFace and some of the models on there. I'm trying to achieve something along the lines of RAG. Seems like a pretty clear guide with all the needed ingredients and recipe. But the cooking sequence is what I need help.
What I want to do:
Hav... | https://stackoverflow.com/questions/77512691/retrieval-augmented-generation-without-openaiembeddings | python, nlp, artificial-intelligence, langchain | 1,700,431,880 |
se_65939855 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Spacy Custom Name Entity Recognition (NER) 'catastrophic forgetting' issue | Spacy Custom Name Entity Recognition (NER) 'catastrophic forgetting' issue
The model is unable to remember the previous labels on which it was trained
i know that its 'catastrophic forgetting', but no example or blog seems to help this issue.
the most common response for this is this blog is this https://explo... | https://stackoverflow.com/questions/65939855/spacy-custom-name-entity-recognition-ner-catastrophic-forgetting-issue | python, nlp, spacy, named-entity-recognition, doccano | 1,611,846,477 |
se_78797321 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to host NLP model as API? | How to host NLP model as API?
I have trained a chatbot model and want to integrate it into an Android app. My goal is to enable chatbot functionality in the app by hosting the model as an API so users can interact with it. I'm looking for free solutions to host the model. Can you suggest some free hosting options and ... | https://stackoverflow.com/questions/78797321/how-to-host-nlp-model-as-api | android, nlp | 1,721,987,114 |
se_78793489 | stackoverflow | ARTIFICIAL_INTELLIGENCE | CPU Memory Leak While Inference Models in Infinite Loop | CPU Memory Leak While Inference Models in Infinite Loop
I'm experiencing a CPU memory leak while running a Python script that processes text using various NLP models in an infinite loop. The script includes language translation, sentiment analysis, and topic classification. Here's a simplified version of the problemat... | https://stackoverflow.com/questions/78793489/cpu-memory-leak-while-inference-models-in-infinite-loop | pytorch, nlp, memory-leaks, gpu, huggingface-transformers | 1,721,912,787 |
se_78786280 | stackoverflow | ARTIFICIAL_INTELLIGENCE | execute lucene query in multiple language utilizing AI Model | execute lucene query in multiple language utilizing AI Model
We have requirement to support multiple language search for the same field. for example title is "Badminton" and subject is "sports" I want to search in solr like title:Badminton AND subject:sports. this simply works for english but how do i search same docu... | https://stackoverflow.com/questions/78786280/execute-lucene-query-in-multiple-language-utilizing-ai-model | nlp, solr, artificial-intelligence, knn, huggingface | 1,721,791,865 |
se_78794857 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LDA is predicting same topics for all data | LDA is predicting same topics for all data
I'm using the German political speech dataset to train the LDA model. My goal here is to categorize each speech into some topics. But the problem is that the generated topics are too similar, and all speech prediction is predicting the same topic.
Tried to play with parameter... | https://stackoverflow.com/questions/78794857/lda-is-predicting-same-topics-for-all-data | python, text, nlp, lda, speech | 1,721,930,849 |
se_73963171 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ROUGE score metric for non-English (Arabic) language is not working | ROUGE score metric for non-English (Arabic) language is not working
ROUGE score metric is not working for Arabic evaluation, what should I do?
!pip install rouge_score
from datasets import load_metric
metric= load_metric("rouge")
pred_str =['السلام عليكم كيف حالك']
label_str=['السلام عليكم صديقي كيف حالك']
metric.ad... | https://stackoverflow.com/questions/73963171/rouge-score-metric-for-non-english-arabic-language-is-not-working | nlp, metrics, huggingface-transformers, summarization, rouge | 1,664,985,648 |
se_78778988 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Do I need to use Named Entity Recognition (NER) in tokenization? | Do I need to use Named Entity Recognition (NER) in tokenization?
I am working on an NLP project for sentiment analysis. I am using SpaCy to tokenize sentences. As I was reading the documentation, I learned about NER. I've read that it can be used to extract entities from text for aiding a user's searching.
The thing I... | https://stackoverflow.com/questions/78778988/do-i-need-to-use-named-entity-recognition-ner-in-tokenization | python, python-3.x, nlp, spacy, named-entity-recognition | 1,721,654,894 |
se_18717536 | stackoverflow | ARTIFICIAL_INTELLIGENCE | In python, how can I distinguish between a human readable word and a random string? | In python, how can I distinguish between a human readable word and a random string?
Examples of words:
ball
encyclopedia
tableau
Examples of random strings:
qxbogsac
jgaynj
rnnfdwpm
Of course it may happen that a random string will actually be a word in some language or look like one. But basically a human bei... | https://stackoverflow.com/questions/18717536/in-python-how-can-i-distinguish-between-a-human-readable-word-and-a-random-stri | python, string, random, nlp, heuristics | 1,378,811,943 |
se_71590785 | stackoverflow | ARTIFICIAL_INTELLIGENCE | NLP: check if a detected sentence is a complete sentence | NLP: check if a detected sentence is a complete sentence
In my NLP project I build my own model to identify sentences in a PDF document. Now I would like to check if my extracted sentences are complete sentences. During my research I have already come across this question, with the solutions presented there allowing q... | https://stackoverflow.com/questions/71590785/nlp-check-if-a-detected-sentence-is-a-complete-sentence | python, nlp, nltk, spacy, grammar | 1,648,053,112 |
se_78779077 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Transformer models for contextual word embedding in large datasets | Transformer models for contextual word embedding in large datasets
I'm interested in using contextual word embeddings generated by a transformer-based model to explore the similarity of certain words in a large dataset.
Most transformer models only allow up to 512 tokens of input. So presumably I would need to break t... | https://stackoverflow.com/questions/78779077/transformer-models-for-contextual-word-embedding-in-large-datasets | python, nlp, transformer-model, word-embedding | 1,721,656,131 |
se_78764467 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to deal with word counts of zero when calculating Pointwise Mutual Information (PMI) for word cooccurrences in Natural Language Processing | How to deal with word counts of zero when calculating Pointwise Mutual Information (PMI) for word cooccurrences in Natural Language Processing
I have a co-occurrence matrix of words in a text (two words x and y are considered co-occurring, if they both occur in a context window of w words). I want to calculate the Poi... | https://stackoverflow.com/questions/78764467/how-to-deal-with-word-counts-of-zero-when-calculating-pointwise-mutual-informati | nlp, statistics, divide-by-zero | 1,721,306,161 |
se_47493897 | stackoverflow | ARTIFICIAL_INTELLIGENCE | In spacy, Is it possible to get the corresponding rule id in a match of matches | In spacy, Is it possible to get the corresponding rule id in a match of matches
In Spacy 2.x, I use the matcher to find specific tokens in my text corpus. Each rule has an ID ('class-1_0' for example). During parse, I use the callback on_match to handle each match. Is there a solution to retrieve the rule used to find... | https://stackoverflow.com/questions/47493897/in-spacy-is-it-possible-to-get-the-corresponding-rule-id-in-a-match-of-matches | nlp, matcher, spacy | 1,511,680,897 |
se_78773758 | stackoverflow | ARTIFICIAL_INTELLIGENCE | IndexError: list index out of range, when trying to predict from the fine tuned model using Hugginface | IndexError: list index out of range, when trying to predict from the fine tuned model using Hugginface
i am trying to learn on how to fine tune a pretrained model and use it. this is my code
from transformers import AutoModelForSequenceClassification, AutoTokenizer, TrainingArguments, Trainer
from datasets import load... | https://stackoverflow.com/questions/78773758/indexerror-list-index-out-of-range-when-trying-to-predict-from-the-fine-tuned | nlp, huggingface-transformers, huggingface, fine-tuning | 1,721,504,683 |
se_78739816 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Enhancing Document Layout Analysis by Adding Positional and Character Information to CNN Inputs | Enhancing Document Layout Analysis by Adding Positional and Character Information to CNN Inputs
I am working on document layout analysis and have been exploring CNNs and transformer-based networks for this task. Typically, images are passed as 3-channel RGB inputs to these networks. However, my data source is in PDF f... | https://stackoverflow.com/questions/78739816/enhancing-document-layout-analysis-by-adding-positional-and-character-informatio | machine-learning, nlp, neural-network, conv-neural-network, ocr | 1,720,779,449 |
se_72951775 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to get rid of the 'nlp.max_length' limit? | How to get rid of the 'nlp.max_length' limit?
I am trying to do custom NER using spacy for articles; but when I start to train the model I get the error saying,
"[E088] Text of length 1021312 exceeds maximum of 1000000...."
Tried the following solutions :
i. Increasing nlp.max_length = 1500000
ii.Used spacy "... | https://stackoverflow.com/questions/72951775/how-to-get-rid-of-the-nlp-max-length-limit | nlp, spacy, named-entity-recognition, maxlength | 1,657,626,307 |
se_78772541 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Identify starting row of actual data in Pandas DataFrame with merged header cells | Identify starting row of actual data in Pandas DataFrame with merged header cells
My original df looks like this -
df
Note in the data frame:
The headers are there till row 3 & from row 4 onwards, the values for those headers are starting.
The numbers of rows & columns merged to create the headers are not same
The va... | https://stackoverflow.com/questions/78772541/identify-starting-row-of-actual-data-in-pandas-dataframe-with-merged-header-cell | python, pandas, dataframe, nlp, bert-language-model | 1,721,472,926 |
se_76199337 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to add new language to NLLB tokenizer in Huggingface? | How to add new language to NLLB tokenizer in Huggingface?
No Language Left Behind (NLLB) is the machine translation model available on https://huggingface.co/facebook/nllb-200-distilled-600M
It supports a list of languages but to add a new language in the tokenizer, the follow code runs successfully but the language t... | https://stackoverflow.com/questions/76199337/how-to-add-new-language-to-nllb-tokenizer-in-huggingface | python, nlp, huggingface-tokenizers, machine-translation | 1,683,538,947 |
se_78754664 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why my nlp model reload many times when processing question? | Why my nlp model reload many times when processing question?
After receiving question, my program calls the run_predict function then finds the best paragraph match with the question.
After that, my model is constantly reloaded without knowing the reasons.
from flask import Flask, render_template, request, jsonify
fro... | https://stackoverflow.com/questions/78754664/why-my-nlp-model-reload-many-times-when-processing-question | python, flask, nlp, simpletransformers | 1,721,133,825 |
se_68158379 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to track progress with nlp.pipe function of spacy? | How to track progress with nlp.pipe function of spacy?
I'm coding with Python and Spacy.
I want to track the progress of the execution of nlp.pipe(sentences) because it lasts a lot.
How to do that?
nlp = spacy.load('en_core_web_sm')
sentences = [...]
docs = nlp.pipe(sentences, n_process=8) | https://stackoverflow.com/questions/68158379/how-to-track-progress-with-nlp-pipe-function-of-spacy | python, nlp, pipe, spacy, tracking | 1,624,860,894 |
se_9879276 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How do I evaluate a text summarization tool? | How do I evaluate a text summarization tool?
I have written a system that summarizes a long document containing thousands of words. Are there any norms on how such a system should be evaluated in the context of a user survey?
In short, is there a metric for evaluating the time that my tool has saved a human? Currentl... | https://stackoverflow.com/questions/9879276/how-do-i-evaluate-a-text-summarization-tool | language-agnostic, nlp, information-retrieval, evaluation | 1,332,793,564 |
se_55367637 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to combine the results of multiple OCR tools to get better text recognition | How to combine the results of multiple OCR tools to get better text recognition
Imagine, you have different OCR tools to read text from images but none of them gives you a 100% accurate output. Combined however, the result could come very close to the ground truth - What would be the best technique to "fuse" the text ... | https://stackoverflow.com/questions/55367637/how-to-combine-the-results-of-multiple-ocr-tools-to-get-better-text-recognition | nlp, computer-vision, ocr, sensor-fusion | 1,553,642,911 |
se_78744975 | stackoverflow | ARTIFICIAL_INTELLIGENCE | BERT embedding cosine similarities look very random and useless | BERT embedding cosine similarities look very random and useless
I thought you can use BERT embeddings to determine semantic similarity. I was trying to group some words in categories using this, but the results were very bad.
E.g. here is a small example with animals and fruits. Notice that the highest similarity is b... | https://stackoverflow.com/questions/78744975/bert-embedding-cosine-similarities-look-very-random-and-useless | python, machine-learning, nlp, bert-language-model, cosine-similarity | 1,720,904,329 |
se_4806176 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What are the most challenging issues in Sentiment Analysis(opinion mining)? | What are the most challenging issues in Sentiment Analysis(opinion mining)?
Opinion Mining/Sentiment Analysis is a somewhat recent subtask of Natural Language processing.Some compare it to text classification,some take a more deep stance towards it. What do you think about the most challenging issues in Sentiment Anal... | https://stackoverflow.com/questions/4806176/what-are-the-most-challenging-issues-in-sentiment-analysisopinion-mining | nlp, sentiment-analysis | 1,296,054,934 |
se_61279917 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Multi-classification of Text using NLP python - Recall is relatively very less for 2 categories out of total categories | Multi-classification of Text using NLP python - Recall is relatively very less for 2 categories out of total categories
I am having almost balanced dataset of 9 unique categories, each having almost 2200 rows with difference of +/-100 rows. To create model , i have used below mentioned urls approach but in each case m... | https://stackoverflow.com/questions/61279917/multi-classification-of-text-using-nlp-python-recall-is-relatively-very-less-f | python, machine-learning, nlp | 1,587,154,357 |
se_77684999 | stackoverflow | ARTIFICIAL_INTELLIGENCE | GooglePalm(). NotImplementedError: Need to determine which default deprecation schedule to use. within ?? minor releases | GooglePalm(). NotImplementedError: Need to determine which default deprecation schedule to use. within ?? minor releases
this code was working fine before, and now it raise this error when calling GooglePalm with langchain.
The error:
----> 8 llm = GooglePalm().
NotImplementedError: Need to determine which default dep... | https://stackoverflow.com/questions/77684999/googlepalm-notimplementederror-need-to-determine-which-default-deprecation-s | nlp, langchain, large-language-model, palm-pre | 1,702,986,818 |
se_78738444 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Text summarizations of comments and replace the duplicates with the first occurrence if the meaning is comment is same | Text summarizations of comments and replace the duplicates with the first occurrence if the meaning is comment is same
Context - Doing an NLP project to analyze comments column in a data frame. I want to replace the duplicates with the first occurrence if the meaning of the comments are same.
I wants to compare all th... | https://stackoverflow.com/questions/78738444/text-summarizations-of-comments-and-replace-the-duplicates-with-the-first-occurr | nlp, transformer-model, summarization | 1,720,754,289 |
se_68461204 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Continual pre-training vs. Fine-tuning a language model with MLM | Continual pre-training vs. Fine-tuning a language model with MLM
I have some custom data I want to use to further pre-train the BERT model. I’ve tried the two following approaches so far:
Starting with a pre-trained BERT checkpoint and continuing the pre-training with Masked Language Modeling (MLM) + Next Sentence Pr... | https://stackoverflow.com/questions/68461204/continual-pre-training-vs-fine-tuning-a-language-model-with-mlm | deep-learning, nlp, huggingface-transformers, bert-language-model, pre-trained-model | 1,626,814,364 |
se_69270917 | stackoverflow | ARTIFICIAL_INTELLIGENCE | OSError: [E050] Can't find model 'xx_ent_wiki_sm'. It doesn't seem to be a Python package or a valid path to a data directory | OSError: [E050] Can't find model 'xx_ent_wiki_sm'. It doesn't seem to be a Python package or a valid path to a data directory
Hi I already learn ML at windows and try to migrate to ubuntu and learn NLP.I already install spacy and model via terminal and termintal in /usr/local/lib/python3.8/dist-package... | https://stackoverflow.com/questions/69270917/oserror-e050-cant-find-model-xx-ent-wiki-sm-it-doesnt-seem-to-be-a-pytho | python, nlp, pycharm, spacy | 1,632,235,270 |
se_64533392 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to get all string variations where two adjacent letters are switched / swapped | How to get all string variations where two adjacent letters are switched / swapped
What is the most elegant way to get all possible variations of a string where two adjacent letters are switched? For Example, if we have the string 'stack' the desired result should be:
['tsack', 'satck', 'stcak', 'stakc']
My solution:... | https://stackoverflow.com/questions/64533392/how-to-get-all-string-variations-where-two-adjacent-letters-are-switched-swapp | python, string, list, nlp, autocorrect | 1,603,699,523 |
se_78715101 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How is coherence score calculated in Mallet? | How is coherence score calculated in Mallet?
I do understand how the diagnostics output shows the coherence values for each topic but my values range between -150 and -600 and other posts that I have seen where Mallet was used show coherence scores that seem to range between 0.0-1.0. Is there a command in Mallet (or a... | https://stackoverflow.com/questions/78715101/how-is-coherence-score-calculated-in-mallet | nlp, lda, topic-modeling, mallet, topicmodels | 1,720,276,408 |
se_78710185 | stackoverflow | ARTIFICIAL_INTELLIGENCE | not able END function using "add_conditional_edges" in lang graph | not able END function using "add_conditional_edges" in lang graph
this is my code:
import os
from dotenv import load_dotenv
load_
dotenv()
from langchain_openai import ChatOpenAI
from langgraph.graph import StateGraph, END
from langgraph.graph import Graph, MessagesState
from typing import Annotated, Any,... | https://stackoverflow.com/questions/78710185/not-able-end-function-using-add-conditional-edges-in-lang-graph | nlp, langchain, langgraph | 1,720,164,558 |
se_78707861 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to make dynamic API calls based on user input in a Gemini application python nlp? | How to make dynamic API calls based on user input in a Gemini application python nlp?
I'm working on a Gemini application where I need to make dynamic API calls based on user input. Specifically, I want to perform different API requests depending on the user's query. For example, if the user asks for the latest news, ... | https://stackoverflow.com/questions/78707861/how-to-make-dynamic-api-calls-based-on-user-input-in-a-gemini-application-python | python, nlp, request, google-cloud-vertex-ai, google-gemini | 1,720,105,878 |
se_78536420 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to save python loop output to an excel file | How to save python loop output to an excel file
I have an excel file (input.xlsx) that contains two columns (id and url).
I performed webscrapping on all the url and performed text analysis on the texts.
I have functions that calculates the positive score, negative score, polarity etc.
I want to create an output file(... | https://stackoverflow.com/questions/78536420/how-to-save-python-loop-output-to-an-excel-file | python, excel, nlp | 1,716,755,955 |
se_78637651 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Trying to run GermanSentiment in Python on 10k to 30k texts, keeps crashing? Possibly too large dataset? | Trying to run GermanSentiment in Python on 10k to 30k texts, keeps crashing? Possibly too large dataset?
I want to do sentiment analysis on 2 datasets of tweets, one with 9k strings and one with 30k strings. I have imported GermanSentiment and it ran just fine with the demo code from GitHub, but when I applied it to t... | https://stackoverflow.com/questions/78637651/trying-to-run-germansentiment-in-python-on-10k-to-30k-texts-keeps-crashing-pos | python, nlp, sentiment-analysis, bert-language-model | 1,718,716,003 |
se_64704561 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Exporting text sequences with labels from Inception Annotation engine | Exporting text sequences with labels from Inception Annotation engine
I am using INCEpTION (https://inception-project.github.io/) to annotate my legal documents. Instead of any of the export formats provided in Inception, is there a way I could export the raw text sequences I labelled, along with their label names?
Th... | https://stackoverflow.com/questions/64704561/exporting-text-sequences-with-labels-from-inception-annotation-engine | nlp, annotations, inception | 1,604,606,684 |
se_78122448 | stackoverflow | ARTIFICIAL_INTELLIGENCE | NLTagger.requestAssets(for: language, tagScheme: .lemma) never returns | NLTagger.requestAssets(for: language, tagScheme: .lemma) never returns
I am new to NLP. I need to Lemmatise a sentence. But the request for assets never returns. Here is the code:
if !NLTagger.availableTagSchemes(for: .word, language: .english).contains(.lemma) {
NLTagger.requestAssets(for: .english, tagScheme: .l... | https://stackoverflow.com/questions/78122448/nltagger-requestassetsfor-language-tagscheme-lemma-never-returns | ios, swift, nlp | 1,709,824,619 |
se_78697141 | stackoverflow | ARTIFICIAL_INTELLIGENCE | GliNER finetuning - no validation loss is logging | GliNER finetuning - no validation loss is logging
I am trying to fine-tune using this notebook: GLiNER/examples/finetune.ipynb at main · urchade/GLiNER (github.com)
However, the logs only show 'loss' , which I assume is the training data set loss, but there is no recorded validation set loss
training_args = TrainingAr... | https://stackoverflow.com/questions/78697141/gliner-finetuning-no-validation-loss-is-logging | python, pytorch, nlp, named-entity-recognition, huggingface-trainer | 1,719,924,282 |
se_78693093 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I make my Hugging Face fine-tuned model's config.json file reference a specific revision/commit from the original pretrained model? | How can I make my Hugging Face fine-tuned model's config.json file reference a specific revision/commit from the original pretrained model?
I uploaded this model: https://huggingface.co/pamessina/CXRFE, which is a fine-tuned version of this model: https://huggingface.co/microsoft/BiomedVLP-CXR-BERT-specialized
Unf... | https://stackoverflow.com/questions/78693093/how-can-i-make-my-hugging-face-fine-tuned-models-config-json-file-reference-a-s | nlp, huggingface-transformers, bert-language-model, huggingface, huggingface-hub | 1,719,848,128 |
se_78612251 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How do we add/modify the normalizer in a pretrained Huggingface tokenizer? | How do we add/modify the normalizer in a pretrained Huggingface tokenizer?
Given a Huggingface tokenizer that already have a normalizer, e.g. "mistralai/Mistral-7B-v0.1", we can do this to modify the normalizer
import json
from transformers import AutoTokenizer
from tokenizers.normalizers import Sequence, Replace, Pr... | https://stackoverflow.com/questions/78612251/how-do-we-add-modify-the-normalizer-in-a-pretrained-huggingface-tokenizer | python, nlp, large-language-model, huggingface-tokenizers | 1,718,190,239 |
se_75975405 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Python, using pdfplumber, pdfminer packages extract text from pdf, bolded characters duplicates | Python, using pdfplumber, pdfminer packages extract text from pdf, bolded characters duplicates
Goal: extract Chinese financial report text
Implementation: Python pdfplumber/pdfminer package to extract PDF text to txt
problem: for PDF text in bold, corresponding extracted text in txt duplicates
Examples are as follows... | https://stackoverflow.com/questions/75975405/python-using-pdfplumber-pdfminer-packages-extract-text-from-pdf-bolded-charac | pdf, nlp, extract, cjk, pdfplumber | 1,681,114,654 |
se_54905774 | stackoverflow | ARTIFICIAL_INTELLIGENCE | why softmax get small gradient when the value is large in paper 'Attention is all you need' | why softmax get small gradient when the value is large in paper 'Attention is all you need'
This is the screen of the original paper: the screen of the paper. I understand the meaning of the paper is that when the value of dot-product is large, the gradient of softmax will get very small.
However, I tried to c... | https://stackoverflow.com/questions/54905774/why-softmax-get-small-gradient-when-the-value-is-large-in-paper-attention-is-al | deep-learning, nlp, softmax, attention-model | 1,551,271,334 |
se_77893479 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Unable to upload documents in Chroma DB | Unable to upload documents in Chroma DB
While uploading document chunks in chroma db using the following code -
with tqdm(total = len(dataset["train"])) as pbar:
for i in dataset["train"]:
try:
doc = Document(page_content = i["some_value"], metadata = {"video_id" : i["some_other_value"]})
doc_chunks ... | https://stackoverflow.com/questions/77893479/unable-to-upload-documents-in-chroma-db | nlp, embedding, chromadb | 1,706,409,523 |
se_78685093 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Alternative to Receptive field in Transformers and what factors impact it | Alternative to Receptive field in Transformers and what factors impact it
I have two transformer networks. One with 3 heads per attention and 15 layers in total and second one with 5 heads per layer and 30 layers in total. Given an arbitrary set of documents (2048 tokens per each), how to find out, which network is go... | https://stackoverflow.com/questions/78685093/alternative-to-receptive-field-in-transformers-and-what-factors-impact-it | nlp, huggingface-transformers, receptive-field | 1,719,637,110 |
se_78678870 | stackoverflow | ARTIFICIAL_INTELLIGENCE | "KeyError: 0" when calling model.fit() in Keras | "KeyError: 0" when calling model.fit() in Keras
I am training a simple sequential model for NLP in keras. Here is the model architecture:
from keras.models import Sequential
from keras import layers
from keras.layers import Embedding, Flatten, Dense
embedding_dim = 500
model = Sequential()
model.add(layer... | https://stackoverflow.com/questions/78678870/keyerror-0-when-calling-model-fit-in-keras | python, keras, nlp | 1,719,505,912 |
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