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_31421413 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to compute precision, recall, accuracy and f1-score for the multiclass case with scikit learn? | How to compute precision, recall, accuracy and f1-score for the multiclass case with scikit learn?
I'm working in a sentiment analysis problem the data looks like this:
label instances
5 1190
4 838
3 239
1 204
2 127
So my data is unbalanced since 1190 instances are labeled with ... | https://stackoverflow.com/questions/31421413/how-to-compute-precision-recall-accuracy-and-f1-score-for-the-multiclass-case | python, machine-learning, scikit-learn, nlp | 1,436,933,856 |
se_75473400 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why is Spacy not executing the training pipeline even though the code runs without error? | Why is Spacy not executing the training pipeline even though the code runs without error?
I am training a custom NER model with Spacy version 3.5.0 using some dummy data. My entire code and dummy data is given below. This is exact same code give in the 2nd half of this link. The code is running fine, but it only execu... | https://stackoverflow.com/questions/75473400/why-is-spacy-not-executing-the-training-pipeline-even-though-the-code-runs-witho | python, nlp, nltk, spacy, named-entity-recognition | 1,676,556,372 |
se_78949607 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Trainer huggingface - RuntimeError: cannot pin 'torch.cuda.FloatTensor' only dense CPU tensors can be pinned | Trainer huggingface - RuntimeError: cannot pin 'torch.cuda.FloatTensor' only dense CPU tensors can be pinned
I recently got the following error:
RuntimeError: cannot pin 'torch.cuda.FloatTensor' only dense CPU tensors can be pinned
when doing LoRA on a small LLM.
I saw on a discord someone saying:
The issue l... | https://stackoverflow.com/questions/78949607/trainer-huggingface-runtimeerror-cannot-pin-torch-cuda-floattensor-only-den | nlp, huggingface-transformers | 1,725,466,158 |
se_78843104 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Transformers error: RuntimeError: Failed to import transformers.training_args | Transformers error: RuntimeError: Failed to import transformers.training_args
I am trying to use transformers in a task of building a chatbot
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, GenerationConfig, TrainingArguments, trainer
import torch
import time
import pandas as pd
import random
import num... | https://stackoverflow.com/questions/78843104/transformers-error-runtimeerror-failed-to-import-transformers-training-args | nlp, huggingface-transformers | 1,723,025,533 |
se_69861444 | stackoverflow | ARTIFICIAL_INTELLIGENCE | TypeError: "hypothesis" expects pre-tokenized hypothesis (Iterable[str]): | TypeError: "hypothesis" expects pre-tokenized hypothesis (Iterable[str]):
I am trying to calculate the Meteor score for the following:
print (nltk.translate.meteor_score.meteor_score(
["this is an apple", "that is an apple"], "an apple on this tree"))
However I am getting this error every time and I am ... | https://stackoverflow.com/questions/69861444/typeerror-hypothesis-expects-pre-tokenized-hypothesis-iterablestr | python, nlp, nltk, metrics | 1,636,172,779 |
se_79111733 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to derive attributes/labels from short plain text descriptions? (NER, LLM, ?) | How to derive attributes/labels from short plain text descriptions? (NER, LLM, ?)
How to derive attributes/labels from short plain text descriptions? (NER, LLM, ?)
I have short product descriptions that I’d like to transform into structured attributes.
Example:
Input:
“La Lecciaia Cabernet Sauvignon 2017 – Red – 750ml... | https://stackoverflow.com/questions/79111733/how-to-derive-attributes-labels-from-short-plain-text-descriptions-ner-llm | nlp, artificial-intelligence, large-language-model, named-entity-recognition | 1,729,544,096 |
se_76151553 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to import any Natural Language Processing Library for reference within my Unity project? | How to import any Natural Language Processing Library for reference within my Unity project?
I want to import an opensource NLP library into my Unity project but no internet resource has worked and I can't figure out the issue but I assume it has to do with version compatibility. My project is quite up to date so I th... | https://stackoverflow.com/questions/76151553/how-to-import-any-natural-language-processing-library-for-reference-within-my-un | c#, unity-game-engine, nlp, opennlp | 1,682,998,315 |
se_79100835 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I adjust the performance of tokenizer? | How can I adjust the performance of tokenizer?
Working with the tokenizer from the transformers library of Hugging Face. The tokenizer works fine in most cases, but in some cases, it does not.
I'm wondering if I can "adjust" (not train a new tokenizer from scratch) the performance of the tokenizer to handle the bad ca... | https://stackoverflow.com/questions/79100835/how-can-i-adjust-the-performance-of-tokenizer | nlp, huggingface-transformers, huggingface, huggingface-tokenizers | 1,729,233,915 |
se_79102797 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Varying embedding dim due to changing padding in batch size | Varying embedding dim due to changing padding in batch size
I want to train a simple neural network, which has embedding_dim as a parameter:
class BoolQNN(nn.Module):
def __init__(self, embedding_dim):
super(BoolQNN, self).__init__()
self.fc1 = nn.Linear(embedding_dim, 64)
self.relu = nn.Re... | https://stackoverflow.com/questions/79102797/varying-embedding-dim-due-to-changing-padding-in-batch-size | python, text, nlp, padding, data-preprocessing | 1,729,266,891 |
se_79102580 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What's going wrong in these weighted jaccard sum calculations for comparing the pronunciation of consonant clusters? | What's going wrong in these weighted jaccard sum calculations for comparing the pronunciation of consonant clusters?
Context
I have this code for my attempt to create a "similarity mapping" between consonants (or consonant clusters), to the same set of consonants/clusters (basically a cross product mapping), like ... | https://stackoverflow.com/questions/79102580/whats-going-wrong-in-these-weighted-jaccard-sum-calculations-for-comparing-the | algorithm, nlp, phonetics, jaccard-similarity | 1,729,262,877 |
se_76984928 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to make t-sne plots with BERT Models | How to make t-sne plots with BERT Models
I have two text classification models
https://huggingface.co/samanjoy2/banglaclickbert_finetuned_sequence_classification_clickbait
https://huggingface.co/samanjoy2/banglabert_finetuned_sequence_classification_clickbait
I want to plot their hidden states in a T-SNE plor. How can... | https://stackoverflow.com/questions/76984928/how-to-make-t-sne-plots-with-bert-models | nlp, text-classification, tsne | 1,693,085,735 |
se_79101587 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Exporting a Longformer model to ONNX using optimum.exporters | Exporting a Longformer model to ONNX using optimum.exporters
I have trained and finetuned a longformer model with my data.
Now I am trying to export that into ONNX format, using optimum exporter.
Since it's not supported off the bat (from what I can figure), I created my own config file. I'm not completely sure I'm do... | https://stackoverflow.com/questions/79101587/exporting-a-longformer-model-to-onnx-using-optimum-exporters | nlp, huggingface-transformers, onnx | 1,729,245,915 |
se_71690297 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Large Language Model Perplexity | Large Language Model Perplexity
i am currently using GPT-3 and i am trying to compare its capabilities to related language models for my masters thesis.
Unfortunatly GPT-3 is an API based application, so i am not really able to extract metrics such as perplexity.
Over the API i have acces to these three metrics and of... | https://stackoverflow.com/questions/71690297/large-language-model-perplexity | python, nlp, nltk, gpt-3, perplexity | 1,648,719,696 |
se_78957322 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Break after first PER sequence found with Spacy | Break after first PER sequence found with Spacy
I am trying to extract only the first speaker's name from a list of texts using spaCy. Currently, my function returns all "PER" tags, but I want to reduce the overhead and get only the first contiguous sequence of "PER" entities. Here’s the example output I get:
Detected... | https://stackoverflow.com/questions/78957322/break-after-first-per-sequence-found-with-spacy | python, nlp, spacy | 1,725,628,472 |
se_79084965 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Array Bounds Overrun inside of ML.NET - at my wits end | Array Bounds Overrun inside of ML.NET - at my wits end
At my wits end...
T5.omnx - ML.Net implementation trying to get down into text summarization...
Have this text harness - guts of which are below - the harnes is simple proof of component usability...
I have tried a number of T5 models - all wind me to the same dea... | https://stackoverflow.com/questions/79084965/array-bounds-overrun-inside-of-ml-net-at-my-wits-end | c#, nlp, ml.net | 1,728,887,750 |
se_79081924 | stackoverflow | ARTIFICIAL_INTELLIGENCE | With spaCy, how can I get all lemmas from a string? | With spaCy, how can I get all lemmas from a string?
I have a pandas data frame with a column of text values (documents). I want to apply lemmatization on these values with the spaCy library using the pandas apply function. I've defined my to_lemma function to iterate through the words in the document and concatenate... | https://stackoverflow.com/questions/79081924/with-spacy-how-can-i-get-all-lemmas-from-a-string | python, pandas, nlp, spacy, lemmatization | 1,728,767,001 |
se_59384146 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why do Transformers in Natural Language Processing need a stack of encoders? | Why do Transformers in Natural Language Processing need a stack of encoders?
I am following this blog on transformers
http://jalammar.github.io/illustrated-transformer/
The only thing I don't understand is why there needs to be a stack of encoders or decoders. I understand that the multi-headed attention layers capt... | https://stackoverflow.com/questions/59384146/why-do-transformers-in-natural-language-processing-need-a-stack-of-encoders | machine-learning, deep-learning, nlp, transformer-model | 1,576,630,646 |
se_79010018 | stackoverflow | ARTIFICIAL_INTELLIGENCE | AutoModelForSequenceClassification loss not decrease | AutoModelForSequenceClassification loss not decrease
from datasets import load_dataset
from torch.utils.data import DataLoader
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
from tqdm import tqdm
def train_one_epoch(model, dataloader, optimizer):
model.train()
loss_lis... | https://stackoverflow.com/questions/79010018/automodelforsequenceclassification-loss-not-decrease | python, machine-learning, nlp, huggingface-transformers, huggingface | 1,726,935,890 |
se_79028498 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Medspacy can not detect any entity although it exists | Medspacy can not detect any entity although it exists
I am working in a text that contains biomedical entities. However medspacy package failed to detect those:
import medspacy
nlp = medspacy.load()
text = "The patient was treated with warfarin for atrial fibrillation."
doc = nlp(text)
for ent in doc.ents:
pr... | https://stackoverflow.com/questions/79028498/medspacy-can-not-detect-any-entity-although-it-exists | nlp, nltk, spacy, medical | 1,727,371,453 |
se_79068388 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Replace Prediction Head for XLM-RoBERTa-Base | Replace Prediction Head for XLM-RoBERTa-Base
I want to replace the XLM-RoBERTa-Base prediction head for a NER task (9 tags) with the weights for very specific words. For example, for the NER tag "B-PER" I would like to use the weights from the XLM-RoBERTa vocabulary for the word "George". The words for the individual ... | https://stackoverflow.com/questions/79068388/replace-prediction-head-for-xlm-roberta-base | pytorch, nlp, huggingface-transformers, named-entity-recognition, roberta-language-model | 1,728,444,093 |
se_79073763 | stackoverflow | ARTIFICIAL_INTELLIGENCE | facebook/m2m100_418M model - how to translate longer sequences of text | facebook/m2m100_418M model - how to translate longer sequences of text
I have this extracted the following text from Wikipedia's Wiki (https://en.wikipedia.org/wiki/Wiki),
A wiki is a form of hypertext publication on the internet which is collaboratively edited and managed by its audience directly through a web browse... | https://stackoverflow.com/questions/79073763/facebook-m2m100-418m-model-how-to-translate-longer-sequences-of-text | python, facebook, nlp, huggingface-transformers, machine-translation | 1,728,553,520 |
se_79075644 | stackoverflow | ARTIFICIAL_INTELLIGENCE | My llama2 model is talking to itself asking question and answering it to them using Conversational retrieval chain | My llama2 model is talking to itself asking question and answering it to them using Conversational retrieval chain
I was implementing RAG on a document with using the LLama2 model but my model is asking questions to itself and answering it to them.
llm = LlamaCpp(model_path=model_path,
temperature=0,
max_token... | https://stackoverflow.com/questions/79075644/my-llama2-model-is-talking-to-itself-asking-question-and-answering-it-to-them-us | python, nlp, large-language-model, rag, llama-cpp-python | 1,728,583,426 |
se_70501324 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to predict the probability of an empty string using BERT | How to predict the probability of an empty string using BERT
Suppose we have a template sentence like this:
"The ____ house is our meeting place."
and we have a list of adjectives to fill in the blank, e.g.:
"yellow"
"large"
""
Note that one of these is an empty string.
The goal is to compare the probabilities to ... | https://stackoverflow.com/questions/70501324/how-to-predict-the-probability-of-an-empty-string-using-bert | python, nlp, huggingface-transformers, bert-language-model | 1,640,646,776 |
se_79073612 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Accented characters in Presidio deny list not being recognized despite correct YAML encoding | Accented characters in Presidio deny list not being recognized despite correct YAML encoding
I'm using Microsoft Presidio for text analysis and anonymization, and I have a configuration file (all-config.yml) to specify recognizers, including some deny lists with accented characters. However, I am facing an issue where... | https://stackoverflow.com/questions/79073612/accented-characters-in-presidio-deny-list-not-being-recognized-despite-correct-y | python, nlp, yaml, text-processing, presidio | 1,728,551,615 |
se_74772411 | stackoverflow | ARTIFICIAL_INTELLIGENCE | TTS Voice Cloning | TTS Voice Cloning
I have used coqui's open-source repository to build a voice clone model. It makes use of different tts_models trained using LJSpeech datasets. I used the multilingual model to use the sample that I have provided. However, I have been getting this error:
ValueError: [!] Look like you use a multi-ling... | https://stackoverflow.com/questions/74772411/tts-voice-cloning | python, linux, deep-learning, nlp, text-to-speech | 1,670,854,464 |
se_64898002 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Apertium + Python: POS-tagger not providing surface form | Apertium + Python: POS-tagger not providing surface form
I'm trying to POS-tag some sentences in Italian with Apertium's tagger.
While according to the Apertium GitHub page I am supposed to get as output also the surface form in addition to the morphological analysis, I only get the analysis. I want also the surface f... | https://stackoverflow.com/questions/64898002/apertium-python-pos-tagger-not-providing-surface-form | python, nlp, pos-tagger, morphological-analysis, apertium | 1,605,719,748 |
se_61574364 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Reaching the main word from the suffix list | Reaching the main word from the suffix list
I have a word like "itibarsızlaştırmak".
The stem is "itibar" and the suffix list is "a, ak, ar, ı, laş, m, sız, i".
The suffix list is missing. "ma, tır, ız, i, ı, a, m, sı, mak, tı, sız, ak, ar, laş" is the right one.
How can i to reach "itibarsızlaştırmak" with suffix... | https://stackoverflow.com/questions/61574364/reaching-the-main-word-from-the-suffix-list | c#, nlp, morphological-analysis | 1,588,508,540 |
se_53023382 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Print all the tokens in the file that are labelled with the morphological tag | Print all the tokens in the file that are labelled with the morphological tag
I want to print all the tokens which are labellad with the morphological tag in a file. So far I wrote the code shown below.
def index(filepath, string):
import re
pattern = re.compile(r'(\w+)+')
StringList = []
StringList.... | https://stackoverflow.com/questions/53023382/print-all-the-tokens-in-the-file-that-are-labelled-with-the-morphological-tag | python, regex, nlp, morphological-analysis | 1,540,653,614 |
se_44034496 | stackoverflow | ARTIFICIAL_INTELLIGENCE | In NLTK, Can I do morphological analysis for specific language | In NLTK, Can I do morphological analysis for specific language
I am trying to add some arabic features into the NLTK,
but some tasks such as stemming need a morphological analysis. Is there any way to define the morphological features of specific language such as Arabic to NLTK or I must to customize the analyzer? | https://stackoverflow.com/questions/44034496/in-nltk-can-i-do-morphological-analysis-for-specific-language | python, nlp, nltk, morphological-analysis | 1,495,053,971 |
se_33779230 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to get wordforms in sphinx? | How to get wordforms in sphinx?
How i can get all morphology forms of the word?
For example, searching keyword is:
runner
Result should be:
run,running ... etc | https://stackoverflow.com/questions/33779230/how-to-get-wordforms-in-sphinx | nlp, sphinx, morphological-analysis | 1,447,847,188 |
se_13858983 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Increasing relevancy of search results | Increasing relevancy of search results
I have a problem with making search output more practically usefull for the end users. The problem is rather related to the algorithm and approach then to exact technology or framework to use.
At the moment we have a database of products, that can be described with following sch... | https://stackoverflow.com/questions/13858983/increasing-relevancy-of-search-results | algorithm, search, nlp, full-text-search, search-engine | 1,355,398,585 |
se_16053381 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can morph dictionary be built using postgresql? | How can morph dictionary be built using postgresql?
I need to create special morphological vocabulary for a natural language. Each word should contain a set of characteristics. Does PostgreSQL 9.* help in such situation? I mean: should I create table from the scratch or there are some predefined means? | https://stackoverflow.com/questions/16053381/how-can-morph-dictionary-be-built-using-postgresql | postgresql, dictionary, nlp, morphological-analysis | 1,366,181,383 |
se_24098658 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Morphological text analysis with Python using *.dic *.aff | Morphological text analysis with Python using *.dic *.aff
I have 2 files in hunspell format(.dic and .aff) for Ukrainian language. My program has to get base form of the input word. So, it can use word form from .dic file and affices from .aff files. I don't know how to achieve this even with Hunspell util, but suppos... | https://stackoverflow.com/questions/24098658/morphological-text-analysis-with-python-using-dic-aff | python, nlp, hunspell, morphological-analysis | 1,402,154,321 |
se_26052603 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to plot Japanese string-based data in Python | How to plot Japanese string-based data in Python
I have a csv like this:
Date, i, eat, chicken, you, fish, banana
2014-9-14, 1, 2, 1, 1, 1, 0
2014-10-15, 1, 1, 1, 0, 0, 0
2014-11-13, 0, 1, 0, 1, 0, 1
Forget about upper/lowercase and stemming because I will be morphological analyzing Japanese texts.
Ultimate Goal: ... | https://stackoverflow.com/questions/26052603/how-to-plot-japanese-string-based-data-in-python | python, string, nlp, python-ggplot, morphological-analysis | 1,411,709,071 |
se_26484377 | stackoverflow | ARTIFICIAL_INTELLIGENCE | In python NLTK, I want to get morphological analysis result on non-whitespace string | In python NLTK, I want to get morphological analysis result on non-whitespace string
I want to get a morphological analysis result from NLTK on a non-whitesapce string.
For example:
The string is "societynamebank".
I want to get ['society', 'name', 'bank']
How to get that result on NLTK ? | https://stackoverflow.com/questions/26484377/in-python-nltk-i-want-to-get-morphological-analysis-result-on-non-whitespace-st | python, nlp, nltk, morphological-analysis | 1,413,886,988 |
se_4627520 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to search a string for different tenses? | How to search a string for different tenses?
I can use Stemmers, Filters etc. No problem.
But what about this case, for example the source text contains the phrase:
The fox made a jump.
User has entered: fox AND make
Results = 0;
The question is how to process irregular forms of words? | https://stackoverflow.com/questions/4627520/how-to-search-a-string-for-different-tenses | forms, nlp, lucene.net, morphological-analysis | 1,294,416,646 |
se_680907 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is there a free library for morphological analysis of the German language? | Is there a free library for morphological analysis of the German language?
I'm looking for a library which can perform a morphological analysis on German words, i.e. it converts any word into its root form and providing meta information about the analysed word.
For example:
gegessen -> essen
wurde [...] gefasst -> f... | https://stackoverflow.com/questions/680907/is-there-a-free-library-for-morphological-analysis-of-the-german-language | nlp, languagetool, morphological-analysis | 1,237,974,717 |
se_77963718 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Are [INST] and [/INST] needed for mistral chat? | Are [INST] and [/INST] needed for mistral chat?
On the page Open-weight models, they use [INST] and [/INST] in the template. (If I understood correctly, they fined tuned the basic text completion model on a dataset of instructions with the format <s>[INST] Instruction [/INST] Model answer</s>[INST] Follow-up instructi... | https://stackoverflow.com/questions/77963718/are-inst-and-inst-needed-for-mistral-chat | nlp, mistral-7b | 1,707,413,566 |
se_6082415 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Creating tree data structure | Creating tree data structure
i have some data:
A
AXNHJNEHWXNOECMEJK
DNFJNXYEEQWhsdbchjsxs
XMJQWsdsEOJdfsKMDJE
....
Each row is array and each letter is object. I have comparer function which could say that letter A is equavalent of letter a(actually it is not letter. It's russian words and comparer function use mo... | https://stackoverflow.com/questions/6082415/creating-tree-data-structure | c#, algorithm, nlp, morphological-analysis | 1,305,988,667 |
se_56161468 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why is part-of-speech tag for Adjectives 'JJ'? | Why is part-of-speech tag for Adjectives 'JJ'?
What is the etymology for JJ tag denoting POS for adjectives? I am unable to find any references online. There are several resources listing all the tags, but none describing the reason. | https://stackoverflow.com/questions/56161468/why-is-part-of-speech-tag-for-adjectives-jj | nlp | 1,557,984,940 |
se_59344316 | stackoverflow | ARTIFICIAL_INTELLIGENCE | detect dates in spacy | detect dates in spacy
Is there a way to write a rule based system to catch things like start/end dates from a contract text. Here are a few real examples. I am bolding the date entities which I want spacy to automatically detect. If you have other ideas different than spacy that is also OK!
The initial term of this ... | https://stackoverflow.com/questions/59344316/detect-dates-in-spacy | python, nlp, spacy, named-entity-recognition | 1,576,416,319 |
se_79053957 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Keras MultiHeadAttention and padding mask warnings | Keras MultiHeadAttention and padding mask warnings
I'm creating a transformer model with tensorflow/keras. First time using tensorflow.
I'm using a MultiHeadAttention-layer. My input is zero-padded, and has a mask. I get warnings about the mask being discarded. But it seems like the mask is indeed used.
This is a simp... | https://stackoverflow.com/questions/79053957/keras-multiheadattention-and-padding-mask-warnings | tensorflow, machine-learning, keras, nlp | 1,728,039,676 |
se_79061427 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How do I freeze only some embedding indices with tied embeddings? | How do I freeze only some embedding indices with tied embeddings?
I found in Is it possible to freeze only certain embedding weights in the embedding layer in pytorch? a nice way to freeze only some indices of an embedding layer.
However, while including it in a BERT model, I cannot find a way to tie those embeddings.... | https://stackoverflow.com/questions/79061427/how-do-i-freeze-only-some-embedding-indices-with-tied-embeddings | python, pytorch, nlp, bert-language-model, word-embedding | 1,728,294,138 |
se_70205743 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Export Stanza to ONNX format? | How to Export Stanza to ONNX format?
How to export Stanza to ONNX format?
It seems impossible to just simply train the model. | https://stackoverflow.com/questions/70205743/how-to-export-stanza-to-onnx-format | machine-learning, nlp, onnx, onnxruntime, stanza | 1,638,475,167 |
se_78665040 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How do RNNs handle negation in sentiment analysis | How do RNNs handle negation in sentiment analysis
I'm trying to understand how Recurrent Neural Networks (RNNs), such as LSTM or GRU models or just a simple RNN, handle negation in sentiment analysis. Specifically, I'm curious about how these models manage to correctly interpret sentences where negation changes the se... | https://stackoverflow.com/questions/78665040/how-do-rnns-handle-negation-in-sentiment-analysis | nlp, recurrent-neural-network, sentiment-analysis | 1,719,277,538 |
se_59031625 | stackoverflow | ARTIFICIAL_INTELLIGENCE | InvalidArgumentError: indices[120,0] = 3080 is not in [0, 32) [[{{node embedding_6/embedding_lookup}}]] | InvalidArgumentError: indices[120,0] = 3080 is not in [0, 32) [[{{node embedding_6/embedding_lookup}}]]
I have seen others have posted similar questions. But the difference is I'm running a Keras Functional API instead of a sequential model.
from keras.models import Model
from keras import layers
from keras import In... | https://stackoverflow.com/questions/59031625/invalidargumenterror-indices120-0-3080-is-not-in-0-32-node-embedding | python, keras, nlp, lstm | 1,574,684,093 |
se_77341101 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is there a method to extract quotes and their related speakers in the French language? | Is there a method to extract quotes and their related speakers in the French language?
Is there a method to extract quote and their related speaker with the gestion of coreference?
I want in output to get a dict with [{"speaker" : , "quotes": }] and if we don’t find the speaker, we put None to speaker and add "Potenti... | https://stackoverflow.com/questions/77341101/is-there-a-method-to-extract-quotes-and-their-related-speakers-in-the-french-lan | nlp, stanford-nlp, spacy-3 | 1,697,997,283 |
se_77666464 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Could not build wheels for camel-kenlm | Could not build wheels for camel-kenlm
when trying to install camel-tools for python3.8 on MacOS machine using:
pip install camel-tools
ERROR: Failed building wheel for camel-kenlm
Failed to build camel-kenlm
ERROR: Could not build wheels for camel-kenlm, which is required to install pyproject.toml-based projects
tri... | https://stackoverflow.com/questions/77666464/could-not-build-wheels-for-camel-kenlm | python, nlp | 1,702,645,702 |
se_77490008 | stackoverflow | ARTIFICIAL_INTELLIGENCE | cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.10/dist-packages/typing_extensions.py) | cannot import name 'TypeAliasType' from 'typing_extensions' (/usr/local/lib/python3.10/dist-packages/typing_extensions.py)
I using elevenlab api for voice cloning in google colab. Here is my code
import elevenlabs
from elevenlabs import set_api_key
set_api_key("*****************")
It gives me this e... | https://stackoverflow.com/questions/77490008/cannot-import-name-typealiastype-from-typing-extensions-usr-local-lib-pyth | python, machine-learning, deep-learning, nlp, google-colaboratory | 1,700,071,714 |
se_79034901 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Dataset for transformer | Dataset for transformer
I'm making a model using transformer for code generation. I'm confused how to get input and output of data to train decoder only transformer my db is :-
[
{
"code": "def bubble_sort(arr):\n n = len(arr)\n for i in range(n):\n for j in range(0, n-i-1):\n if arr[... | https://stackoverflow.com/questions/79034901/dataset-for-transformer | machine-learning, nlp | 1,727,547,945 |
se_73346095 | stackoverflow | ARTIFICIAL_INTELLIGENCE | hugging face, Numpy is not available | hugging face, Numpy is not available
CODE I AM RUNNING:
from transformers import pipeline
classifier = pipeline('sentiment-analysis')
res = classifier("I Love Python.'")
print(res)
ERROR I AM GETTING:
No model was supplied, defaulted to distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://... | https://stackoverflow.com/questions/73346095/hugging-face-numpy-is-not-available | python, numpy, nlp, huggingface-transformers | 1,660,409,269 |
se_67783991 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Pytorch: RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one | Pytorch: RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one
I am training a multilingual bert model for a sentiment classification task. I have 2 GPUs on 1 Machine so I am using Huggingface Accelerator for distributed training. But when I run the code it throws a Runtime... | https://stackoverflow.com/questions/67783991/pytorch-runtimeerror-expected-to-have-finished-reduction-in-the-prior-iteratio | python, python-3.x, nlp, pytorch, huggingface-transformers | 1,622,530,423 |
se_78355243 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is merge in Byte Pair encoding (BPE) optimal? | Is merge in Byte Pair encoding (BPE) optimal?
Let a string be s = "aeeefeekeelaeoae",
Vocab: {a, e, f, k, l, o} (set of characters in s)
Lets say I performed Byte Pair Encoding (BPE) on s and I want number of merges to be 2 such that my final vocab size becomes 8. "ee" gets merged first because it occurs the most. How... | https://stackoverflow.com/questions/78355243/is-merge-in-byte-pair-encoding-bpe-optimal | nlp, encode, tokenize, large-language-model, byte-pair-encoding | 1,713,546,201 |
se_76669635 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Get chatGPT to respond with a single direct answer | Get chatGPT to respond with a single direct answer
I am querying a text using chatGPT. But I need chatGPT to respond with single direct answers, rather than long stories or irrelevant text. Any way to achieve this?
My code looks like:
from langchain.document_loaders import TextLoader
from langchain.vectorstores import... | https://stackoverflow.com/questions/76669635/get-chatgpt-to-respond-with-a-single-direct-answer | python, nlp, openai-api, langchain, chat-gpt-4 | 1,689,158,100 |
se_77951208 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Extracting and Identifying locations with NLP + Spacy | Extracting and Identifying locations with NLP + Spacy
My goal is to be able to recognize (aka identify) and identify (aka name, retrieve an ID) locations from text using NLP. I'm using Spacy specifically.
There are about 1,000 possible locations, but the difficulty is that they are unlikely to be written in a fully qu... | https://stackoverflow.com/questions/77951208/extracting-and-identifying-locations-with-nlp-spacy | nlp, spacy, named-entity-recognition | 1,707,258,852 |
se_79021064 | stackoverflow | ARTIFICIAL_INTELLIGENCE | SBERT Fine-tuning always stops before finish all epochs | SBERT Fine-tuning always stops before finish all epochs
I'm working on a project using the SBERT pre-trained models (specifically MiniLM) for a text classification project with 995 classifications. I am following the steps laid out here for the most part and everything seems to run.
My issue occurs when actually train... | https://stackoverflow.com/questions/79021064/sbert-fine-tuning-always-stops-before-finish-all-epochs | python, machine-learning, pytorch, nlp, bert-language-model | 1,727,236,544 |
se_78974474 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What features to extract to cluster text? | What features to extract to cluster text?
I want to make a classifier for text, which is further use to suggest the most similar text for a one given.
The flow of the app is the following:
extract the main 10 topics from the text, using a llm (it can choose from a 150 words pool)
I make the word vector a binary vecto... | https://stackoverflow.com/questions/78974474/what-features-to-extract-to-cluster-text | machine-learning, nlp, cluster-analysis, text-processing, large-language-model | 1,726,066,609 |
se_78485460 | stackoverflow | ARTIFICIAL_INTELLIGENCE | 'SymbolicTensor' object cannot be interpreted as an integer | 'SymbolicTensor' object cannot be interpreted as an integer
I have been trying to implement Peephole LSTM using Tensorflow, and I am getting the error below
Error
below is my model and I am not sure why I cant get the input layer in my model summary
Model
and below is my Call method for PeepholeLSTM
Peephole L... | https://stackoverflow.com/questions/78485460/symbolictensor-object-cannot-be-interpreted-as-an-integer | python, tensorflow, nlp, lstm, language-model | 1,715,792,492 |
se_28639544 | stackoverflow | ARTIFICIAL_INTELLIGENCE | New York Times API through the command line | New York Times API through the command line
I'm using the command line to tap into the New York Times API and running into issues. I get this:
'http' is not recognized as an internal or external command, operable program, or batch file
when I run:
http://api.nytimes.com/svc/search/v2/articlesearch.json?[q=obama]&... | https://stackoverflow.com/questions/28639544/new-york-times-api-through-the-command-line | command-line, nlp | 1,424,472,321 |
se_79020177 | stackoverflow | ARTIFICIAL_INTELLIGENCE | SpaCy not recognizing NORP (nationality) | SpaCy not recognizing NORP (nationality)
nlp= spacy.load(en_core_web_lg-3.7.1)
name = 'Las Palmas Mexican Restaurant & Bar'
doc = nlp(name)
for token in doc:
print(f"{token.text} \t{token.ent_type_} \t{token.ent_iob_}")
print('-----------------')
Las ORG B
Palmas ORG I
Mexican ... | https://stackoverflow.com/questions/79020177/spacy-not-recognizing-norp-nationality | nlp, spacy | 1,727,208,074 |
se_73290491 | stackoverflow | ARTIFICIAL_INTELLIGENCE | The model did not return a loss from the inputs - LabSE error | The model did not return a loss from the inputs - LabSE error
I want to fine tune LabSE for Question answering using squad dataset. and i got this error:
ValueError: The model did not return a loss from the inputs, only the following keys: last_hidden_state,pooler_output. For reference, the inputs it received are inpu... | https://stackoverflow.com/questions/73290491/the-model-did-not-return-a-loss-from-the-inputs-labse-error | nlp, pytorch, huggingface-transformers, bert-language-model | 1,660,041,805 |
se_60443948 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is there a way to turn Google Colab code into web services or rest APIs | Is there a way to turn Google Colab code into web services or rest APIs
I have a Machine learning module which uses Google Colab's free GPU for NLP tasks, and I want to make a web app out of it. I've been thinking of using React js for frontend and spring boot for the back end and was wondering whether there is a way ... | https://stackoverflow.com/questions/60443948/is-there-a-way-to-turn-google-colab-code-into-web-services-or-rest-apis | python, machine-learning, nlp, google-colaboratory | 1,582,852,230 |
se_62111614 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ScispaCy in google colab | ScispaCy in google colab
I am trying to build NER model of clinical data using ScispaCy in colab. I have installed packages like this.
!pip install spacy
!pip install scispacy
!pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.4/en_core_sci_md-0.2.4.tar.gz #pip install <Model URL>```... | https://stackoverflow.com/questions/62111614/scispacy-in-google-colab | python, nlp, spacy, named-entity-recognition | 1,590,899,608 |
se_56470403 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Spacy nlp = spacy.load("en_core_web_lg") | Spacy nlp = spacy.load("en_core_web_lg")
I already have spaCy downloaded, but everytime I try the nlp = spacy.load("en_core_web_lg"), command, I get this error:
OSError: [E050] Can't find model 'en_core_web_lg'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory.
I... | https://stackoverflow.com/questions/56470403/spacy-nlp-spacy-loaden-core-web-lg | python, python-3.x, nlp, spacy | 1,559,790,169 |
se_3708199 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Dealing with the example.cpp in CRF++ toolkit | Dealing with the example.cpp in CRF++ toolkit
I am just starting to learn about the use of CRF++ toolkit.
I downloaded the linux version of CRF++ 0.54 ,
When i try to compile the example.cpp under sdk/ with the command
g++ -o example example.cpp
there comes the problem:
hpl@hpl-desktop:~/Documents/CRF/CRF++-0.54$ g++ ... | https://stackoverflow.com/questions/3708199/dealing-with-the-example-cpp-in-crf-toolkit | c++, nlp, crf++ | 1,284,461,749 |
se_79005985 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Seq2Seq trainer.train() keeps giving indexing error | Seq2Seq trainer.train() keeps giving indexing error
I am trying to do a machine translation from Hindi to Sanskrit using NLLB model. But I keep getting the error:
IndexError: Invalid key: 39463 is out of bounds for size 0.
The error is coming when training the pretrained NLLB model `facebook/nllb-200-1.3B
The input... | https://stackoverflow.com/questions/79005985/seq2seq-trainer-train-keeps-giving-indexing-error | python, nlp, huggingface-transformers, huggingface-trainer | 1,726,821,812 |
se_78985137 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Alternative to device_map = "auto" in Huggingface Pretrained | Alternative to device_map = "auto" in Huggingface Pretrained
I have a model that I was reading from huggingface using the following code:
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path... | https://stackoverflow.com/questions/78985137/alternative-to-device-map-auto-in-huggingface-pretrained | machine-learning, deep-learning, nlp, huggingface-transformers | 1,726,317,723 |
se_52047163 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Use Natural Language Processing to to Split Bad & Good Comments from an Employee Survey | Use Natural Language Processing to to Split Bad & Good Comments from an Employee Survey
So bit of a long shot here, and I apologize for the lack of information. However, I'm struggling to even know where to look now.
So I'm trying to split good and bad comments from a made-up survey of employees at a random comp... | https://stackoverflow.com/questions/52047163/use-natural-language-processing-to-to-split-bad-good-comments-from-an-employee | python, nlp, nltk | 1,535,405,036 |
se_77050866 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why I am getting "Notebook out of memory" error upon notebook submission in Kaggle | Why I am getting "Notebook out of memory" error upon notebook submission in Kaggle
I am participating in a Kaggle competition. Over the past 7-10 days I have been facing a peculiar problem. I am trying to make my submission to the competition, but am getting "Notebook out of memory" error again and again as ... | https://stackoverflow.com/questions/77050866/why-i-am-getting-notebook-out-of-memory-error-upon-notebook-submission-in-kagg | python, nlp, huggingface-transformers, kaggle, large-language-model | 1,693,994,150 |
se_2264806 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to automatically determine text quality? | How to automatically determine text quality?
A lot of Natural Language Processing (NLP) algorithms and libraries have a hard time working with random texts from the web, usually because they are presupposing clean, articulate writing. I can understand why that would be easier than parsing YouTube comments.
My questio... | https://stackoverflow.com/questions/2264806/how-to-automatically-determine-text-quality | nlp | 1,266,224,232 |
se_59962851 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Trouble fine tuning Huggingface GPT-2 on Colab -- Assertion error | Trouble fine tuning Huggingface GPT-2 on Colab -- Assertion error
I wish to fine tune Huggingface's GPT-2 transformer model on my own text data. I want to do this on a Google Colab notebook. However, I have two problems. The first is that it doesn't seem to work.
I install the various bits and pieces via the Colab:
!g... | https://stackoverflow.com/questions/59962851/trouble-fine-tuning-huggingface-gpt-2-on-colab-assertion-error | python-3.x, nlp, artificial-intelligence, huggingface-transformers | 1,580,285,459 |
se_78991079 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Generate Mock but realistic data using NLP | Generate Mock but realistic data using NLP
I want to generate realistic test data. It should support customizable Fields, structure of data by specifying field names and types. It should support a wide range of data types, including names, addresses, email addresses, electrical products, household products etc.
I plan... | https://stackoverflow.com/questions/78991079/generate-mock-but-realistic-data-using-nlp | nlp | 1,726,505,641 |
se_78994219 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to parse complex patterns for scheduling? | How to parse complex patterns for scheduling?
I implement parser for my university schedule (Innopolis University) from google spreadsheets to .ics files. It looks like this:
Header (1st and 2nd rows) is Course and Group. On the left side - column with weekday and time.
Each cell here represent schedule entry (they r... | https://stackoverflow.com/questions/78994219/how-to-parse-complex-patterns-for-scheduling | python, parsing, nlp, schedule, information-retrieval | 1,726,578,499 |
se_12229661 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to identify adjectives or adverbs? | How to identify adjectives or adverbs?
I am quite novice to NLP....Is there any API or a way in which i could identify verb or adjective or adverbs from a sentence?
I need it in a project? | https://stackoverflow.com/questions/12229661/how-to-identify-adjectives-or-adverbs | nlp, sentiment-analysis, semantic-analysis | 1,346,518,679 |
se_78991212 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Jupyter Lab kernel dies before starting the trainer.train() | Jupyter Lab kernel dies before starting the trainer.train()
Working on fine-tuning phi-3.5-mini, and when trying to run the trainer.train() i am getting the following error:
***** Running training *****
Num examples = 647
Num Epochs = 3
Instantaneous batch size per device = 8
Total train batch size (w. paralle... | https://stackoverflow.com/questions/78991212/jupyter-lab-kernel-dies-before-starting-the-trainer-train | python, nlp, huggingface-transformers, slm-phi3 | 1,726,508,334 |
se_7290197 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Paraphrasing for Math Word Problems (Changing sentence structure without changing meaning) | Paraphrasing for Math Word Problems (Changing sentence structure without changing meaning)
I'm working on Khan Academy's exercise framework, and more specifically, word problems.
When doing a word problem exercise, students often get the same word problem, only with numbers and names changed. This is not ideal, as st... | https://stackoverflow.com/questions/7290197/paraphrasing-for-math-word-problems-changing-sentence-structure-without-changin | nlp | 1,315,006,867 |
se_60043276 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters | ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters
I wrote a text classification program. When I run the program it crashes with an error as seen in this screenshot:
ValueError: With n_samples=0, test_size=0.2 and train_... | https://stackoverflow.com/questions/60043276/valueerror-with-n-samples-0-test-size-0-2-and-train-size-none-the-resulting-t | python, scikit-learn, nlp | 1,580,747,106 |
se_34197917 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Python fuzzy search and replace | Python fuzzy search and replace
I need to perfom fuzzy search for sub-string in string and replace that part. For example:
str_a = "Alabama"
str_b = "REPLACED"
orig_str = "Flabama is a state located in the southeastern region of the United States."
print(fuzzy_replace(str_a, str_b, orig_str)) # fuzzy_replace code sho... | https://stackoverflow.com/questions/34197917/python-fuzzy-search-and-replace | python, string, nlp, fuzzy-search | 1,449,739,332 |
se_78966943 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How are the weights of the Mistral models reinitialized in Huggingface? | How are the weights of the Mistral models reinitialized in Huggingface?
From How does one reinitialize the weights of a Hugging Face LLaMA v2 model the official way as the original model? and https://discuss.huggingface.co/t/how-does-one-reinitialize-the-weights-of-a-hugging-face-llama-v2-model-the-official-way-as-the... | https://stackoverflow.com/questions/78966943/how-are-the-weights-of-the-mistral-models-reinitialized-in-huggingface | nlp, huggingface-transformers, large-language-model, mistral-7b | 1,725,909,952 |
se_74519464 | stackoverflow | ARTIFICIAL_INTELLIGENCE | AttributeError: 'tuple' object has no attribute 'rank' when calling model.fit() in NLP task | AttributeError: 'tuple' object has no attribute 'rank' when calling model.fit() in NLP task
I'm following this tutorial
https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-9-neural-networks-with-tfidf-vectors-using-d0b4af6be6d7
However, while implementing the ANN based on... | https://stackoverflow.com/questions/74519464/attributeerror-tuple-object-has-no-attribute-rank-when-calling-model-fit | python, keras, neural-network, nlp, tf-idf | 1,669,036,131 |
se_78960441 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LLaMA 3.1 Fine-tuning with QLoRA - CUDA Out of Memory Error | LLaMA 3.1 Fine-tuning with QLoRA - CUDA Out of Memory Error
I'm trying to fine-tune the LLaMA 3.1 8 billion parameters model using the QLoRA technique with the help of the 4-bit bitsandbytes library on a mental health conversations dataset from Hugging Face. However, when I run the code, I'm encountering a torch.cuda.... | https://stackoverflow.com/questions/78960441/llama-3-1-fine-tuning-with-qlora-cuda-out-of-memory-error | nlp, artificial-intelligence, large-language-model, llama, fine-tuning | 1,725,721,026 |
se_78967452 | stackoverflow | ARTIFICIAL_INTELLIGENCE | extracting word embeddings from log probabilities | extracting word embeddings from log probabilities
I am solving an image captioning related issue and eventually I have extract the embeddings of the tokens. One possible way is to extract the embeddings using the tokens. But I cannot do do that because in my case the whole process needs to be differentiable and the to... | https://stackoverflow.com/questions/78967452/extracting-word-embeddings-from-log-probabilities | pytorch, nlp, word-embedding | 1,725,924,376 |
se_65802782 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to use pretrained BERT word embedding vector to finetune (initialize) other networks? | How to use pretrained BERT word embedding vector to finetune (initialize) other networks?
When I used to do classification work with textcnn, I had experience finetuning textcnn using pretrained word embedding with like Word2Vec and fasttext. And I use this process:
Create an embedding layer in textcnn
Load the embed... | https://stackoverflow.com/questions/65802782/how-to-use-pretrained-bert-word-embedding-vector-to-finetune-initialize-other | machine-learning, nlp, pytorch, conv-neural-network, bert-language-model | 1,611,114,201 |
se_60381170 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Which Deep Learning Algorithm does Spacy uses when we train Custom model? | Which Deep Learning Algorithm does Spacy uses when we train Custom model?
When we train custom model, I do see we have dropout and n_iter parameters to tune, but which deep learning algorithm does Spacy Uses to train Custom Models? Also, when Adding new Entity type is it good to create blank or train it on existing mo... | https://stackoverflow.com/questions/60381170/which-deep-learning-algorithm-does-spacy-uses-when-we-train-custom-model | nlp, spacy, named-entity-recognition | 1,582,565,632 |
se_53772907 | stackoverflow | ARTIFICIAL_INTELLIGENCE | No such file or directory 'nltk_data/corpora/stopwords/English' when using colab | No such file or directory 'nltk_data/corpora/stopwords/English' when using colab
First of all I am using Google colab for the work and
I have downloaded nltk stopwords for English with following:
nltk.download('stopwords')
The download was successful
[nltk_data] Downloading package stopwords to /root/nltk_... | https://stackoverflow.com/questions/53772907/no-such-file-or-directory-nltk-data-corpora-stopwords-english-when-using-colab | python, nlp, nltk, google-colaboratory | 1,544,756,171 |
se_78338438 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Reading Documents Directly from Llama Index as Files Instead of Specifying a Folder Path | Reading Documents Directly from Llama Index as Files Instead of Specifying a Folder Path
I'm using llama index and want to directly read documents as files instead of specifying the folder path as described in the official documentation. The current method assumes that llama index users always have a downloaded file i... | https://stackoverflow.com/questions/78338438/reading-documents-directly-from-llama-index-as-files-instead-of-specifying-a-fol | nlp, openai-api, large-language-model, llama, llama-index | 1,713,329,536 |
se_78951976 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Slow GPT4All with Python SDK | Slow GPT4All with Python SDK
I'm trying to run some analysis on thousands of text files, and I would like to use gtp4all (In python) to provide some responses. I've been trying to use the model on a sample text file here.
Here's my code:
llama_path = r"C:\Users\User\AppData\Local\nomic.ai\GPT4All\Meta-Llama-3.1-8B-Ins... | https://stackoverflow.com/questions/78951976/slow-gpt4all-with-python-sdk | python, nlp, artificial-intelligence, large-language-model, gpt4all | 1,725,524,340 |
se_78951906 | stackoverflow | ARTIFICIAL_INTELLIGENCE | RASA [3.6.20] NLU model "training successfully" immediately but only returning 'null' | RASA [3.6.20] NLU model "training successfully" immediately but only returning 'null'
I am trying to upgrade from RASA 2 to RASA 3, and am having a problem I don’t understand. I’m trying to train an NLU model, and when I run the ‘rasa train’ command I get terminal output indicating that my model has ... | https://stackoverflow.com/questions/78951906/rasa-3-6-20-nlu-model-training-successfully-immediately-but-only-returning | nlp, named-entity-recognition, rasa, rasa-nlu | 1,725,523,230 |
se_78946820 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Vector search to get a uniqueness score based on context | Vector search to get a uniqueness score based on context
I have a single blog post with a title and description, and I want to compare its uniqueness against multiple blog entries in a CSV file. The CSV contains several blogs, each with a title and meta description.
I am currently using TF-IDF vectorization and cosine... | https://stackoverflow.com/questions/78946820/vector-search-to-get-a-uniqueness-score-based-on-context | python, machine-learning, vector, nlp, text-processing | 1,725,424,073 |
se_77097820 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Rewrite sentences from first person to third person and vice versa using python packages | Rewrite sentences from first person to third person and vice versa using python packages
Are there any packages in python that can rewrite large content from Person's point of view i.e first person to third person and Third person to First person
I ate apple yesterday
He ate apple yesterday
I have tried to replace t... | https://stackoverflow.com/questions/77097820/rewrite-sentences-from-first-person-to-third-person-and-vice-versa-using-python | text, url-rewriting, nlp, spacy, grammar | 1,694,613,703 |
se_59590993 | stackoverflow | ARTIFICIAL_INTELLIGENCE | where can i download a pretrained word2vec map? | where can i download a pretrained word2vec map?
I have been learning about NLP models and came across word embedding, and saw the examples in which it is possible to see relations between words by calculating their dot products and such.
What I am looking for is just a dictionary, mapping words to their representativ... | https://stackoverflow.com/questions/59590993/where-can-i-download-a-pretrained-word2vec-map | python, nlp, word2vec, word-embedding | 1,578,143,419 |
se_76198051 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to add new tokens to an existing Huggingface tokenizer? | How to add new tokens to an existing Huggingface tokenizer?
How to add new tokens to an existing Huggingface AutoTokenizer?
Canonically, there's this tutorial from Huggingface https://huggingface.co/learn/nlp-course/chapter6/2 but it ends on the note of "quirks when using existing tokenizers". And then it points to th... | https://stackoverflow.com/questions/76198051/how-to-add-new-tokens-to-an-existing-huggingface-tokenizer | python, nlp, huggingface-transformers, huggingface-tokenizers, large-language-model | 1,683,528,092 |
se_78846004 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I use structured_output with Azure OpenAI with the openai Python library? | How can I use structured_output with Azure OpenAI with the openai Python library?
I want to use structured output with Azure OpenAI.
I tried the following code, based on the code given in https://openai.com/index/introducing-structured-outputs-in-the-api/:
from pydantic import BaseModel
from openai import AzureOpenAI
... | https://stackoverflow.com/questions/78846004/how-can-i-use-structured-output-with-azure-openai-with-the-openai-python-library | python, nlp, azure-openai, gpt-4 | 1,723,072,459 |
se_78937220 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to predict unlabels text data with predict_generator in keras? | How to predict unlabels text data with predict_generator in keras?
I am trying to perform prediction on my NPL model using predict_generator, my test data does not have a Y variable. My purpose is to predict labels on future texts. I have tried 'Y_test=None' inside the generator, it gives me a positional error. I have... | https://stackoverflow.com/questions/78937220/how-to-predict-unlabels-text-data-with-predict-generator-in-keras | tensorflow, keras, nlp, generator | 1,725,190,636 |
se_76357844 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to extract subtitles from Youtube videos in varied languages | How to extract subtitles from Youtube videos in varied languages
I have used the code below to extract subtitles from YouTube videos, but it only works for videos in English. I have some videos in Spanish, so I would like to know how I can modify the code to extract Spanish subtitles too?
from pytube import YouTube
fr... | https://stackoverflow.com/questions/76357844/how-to-extract-subtitles-from-youtube-videos-in-varied-languages | python, web-scraping, nlp, youtube, video-streaming | 1,685,367,304 |
se_78933232 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Keep training pytorch model on new data | Keep training pytorch model on new data
I'm working on a text classification task and have decided to use a PyTorch model for this purpose. The process mainly involves the following steps:
Load and process the text.
Use a TF-IDF Vectorizer.
Build the neural network and save the TF-IDF Vectorizer and model to predict ... | https://stackoverflow.com/questions/78933232/keep-training-pytorch-model-on-new-data | python, scikit-learn, pytorch, nlp, python-polars | 1,725,040,079 |
se_78932356 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Capitalized words in sentiment analysis | Capitalized words in sentiment analysis
I'm currently working with data of customers reviews on products from Sephora. my task to classify them to sentiments : negative, neutral , positive .
A common technique of text preprocessing is to lower case all the words , but in this situation upper case words like 'AMAZING' ... | https://stackoverflow.com/questions/78932356/capitalized-words-in-sentiment-analysis | nlp, sentiment-analysis, bert-language-model, data-preprocessing | 1,725,025,796 |
se_67097467 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What is "language modeling head" in BertForMaskedLM | What is "language modeling head" in BertForMaskedLM
I have recently read about BERT and want to use BertForMaskedLM for fill_mask task. I know about BERT architecture. Also, as far as I know, BertForMaskedLM is built from BERT with a language modeling head on top, but I have no idea about what language model... | https://stackoverflow.com/questions/67097467/what-is-language-modeling-head-in-bertformaskedlm | nlp, bert-language-model, huggingface-transformers, language-model | 1,618,426,090 |
se_78928509 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Clustering for SBERT embedding | Clustering for SBERT embedding
I have a set of sentences which I have transformed into vectors using SBERT embedding. I would like to cluster these vectors.
When looking for informations online, I keep seeing post telling to do some classical clustering, either using KMeans (which then use the Euclidean distance), or ... | https://stackoverflow.com/questions/78928509/clustering-for-sbert-embedding | nlp, cluster-analysis, bert-language-model | 1,724,944,283 |
se_50735252 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Efficient implementation of BPE using priority queue | Efficient implementation of BPE using priority queue
I think that it is not strictly BPE (byte pair encoding), but there is a similar idea applied to strings.
Suppose there are three Chinese words in the dictionary (I will use a huge dictionary like CEDICT for practical use.)
我
喜欢
水果
Then take an input like this ... | https://stackoverflow.com/questions/50735252/efficient-implementation-of-bpe-using-priority-queue | string, algorithm, nlp, compression | 1,528,356,377 |
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