NLP Collective

Frequently asked questions relating to NLP. Many of these may be questions that are often asked over and over, duplicates would likely be closed in favor of these. Add the best answer (using the ...

Berthold♦

answered Aug 2, 2023 at 17:43

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LDA Topic Modeling: Balancing Coherence Score (C_v) vs. Discrepant Downstream Predictor Importances

I am a novice in topic modeling, and I would appreciate feedback and opinions from experts in the field. I am currently stuck on the concept of evaluating and finalizing my results. I am working on an ...

Abdulkarim Kanaan

1,763

asked May 29 at 5:19

-2 votes

0 answers

92 views

UNEXPECTED: can be ignored when loading from different task/architecture; not ok if you expect identical arch

Given the following code snippet: from transformers import AutoTokenizer, AutoModelForSequenceClassification import torch device = torch.device("cuda" if torch.cuda.is_available() else "...

farid

1,637

asked May 16 at 10:02

Tooling

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Can I do a topic model for pre processing, find the topics I want and then do a second one?

Looking to do word disambiguition on a dataset with polyssemy. I already tried KB and supervised but they don't capture all the meanings, so I thought to do a first cluster, and then preprocess t the ...

Filipa Mota

asked May 3 at 11:59

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0 answers

98 views

In Kaggle, when executing pipeline(...) from transformers, I get 'RuntimeError: Cannot send a request, as the client has been closed.'

I am trying to run the following code in a Kaggle notebook, from transformers import pipeline pipeline = pipeline(task="text-generation", model="Qwen/Qwen2.5-1.5B") pipeline("...

TylerH

21.3k

modified Apr 23 at 15:14

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0 answers

59 views

How to handle I/O Memory issues with HuggingFace in Kaggle (SafeTensorError)?

I got the above error when I was trying to get a model from HuggingFace. I was using the AutoModelForCasualLM to get the model in question (this is a method directly from the transformers package). ...

Sankarshan Acharya

asked Apr 13 at 18:52

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4 votes

1 answer

2k views

Removing strange/special characters from outputs llama 3.1 model

Background: I'm using Hugging Face's transformers package and Llama 3.1 8B (Instruct). Problem: I am generating responses to a prompt one word at a time in the following way (note that I choose over ...

alvas

124k

modified Sep 26, 2024 at 22:12

Answer Accepted

TL;DR Use this instead of rolling out your own detokenizer. tokenizer.batch_decode(input_ids) In Long The official Llama 3.1 has some approval process that might take some time, so this answer will ...

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alvas

124k

answered Sep 26, 2024 at 21:45

1 vote

1 answer

821 views

Error while converting google flan T5 model to onnx

I am looking to convert flan-T5 model downloaded from Hugging face into onnx format and make inference with the same. My input data is the symptoms of disease and expected output is the Disease name ...

alvas

124k

answered May 15, 2024 at 15:44

Answer

Use https://huggingface.co/datasets/bakks/flan-t5-onnx instead. And to convert the google/flan-t5, see https://huggingface.co/datasets/bakks/flan-t5-onnx/blob/main/exportt5.py from pathlib import ...

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alvas

124k

answered May 15, 2024 at 15:44

1 vote

2 answers

558 views

Why did my fine-tuning T5-Base Model for a sequence-to-sequence task has short incomplete generation?

I am trying to fine-tune a t5-base model for creating appropriate question against a compliance item. Compliance iteams are paragraph of texts and my question are in the past format of them. I have ...

KLaz

answered May 6, 2025 at 10:01

Answer

Because of: labels = tokenizer(targets, max_length=32, padding="max_length", truncation=True) Most probably your model has learnt to just output/generate outputs that are ~32 tokens. Try: ...

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alvas

124k

answered May 8, 2024 at 17:16

3 votes

1 answer

526 views

How to save the LLM2Vec model as a HuggingFace PreTrainedModel object?

Typically, we should be able to save a merged base + PEFT model, like this: import torch from transformers import AutoTokenizer, AutoModel, AutoConfig from peft import PeftModel # Loading base MNTP ...

alvas

124k

answered Apr 12, 2024 at 18:33

Answer

Wrapping the LLM2Vec object around like in https://stackoverflow.com/a/74109727/610569 We can try this: import torch.nn as nn from transformers import PreTrainedModel, PretrainedConfig from ...

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alvas

124k

answered Apr 12, 2024 at 18:33

3 votes

1 answer

1k views

Mistral model generates the same embeddings for different input texts

I am using pre-trained LLM to generate a representative embedding for an input text. But it is wired that the output embeddings are all the same regardless of different input texts. The codes: from ...

alvas

124k

answered Apr 11, 2024 at 12:13

Answer Accepted

You're not slicing it the dimensions right at outputs.last_hidden_state[0, 0, :].numpy() Q: What is the 0th token in all inputs? A: Beginning of sentence token (BOS) Q: So that's the "embeddings&...

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alvas

124k

answered Apr 11, 2024 at 12:13

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471 votes

18 answers

105k views

How does the Google "Did you mean?" Algorithm work? [closed]

I've been developing an internal website for a portfolio management tool. There is a lot of text data, company names etc. I've been really impressed with some search engines ability to very quickly ...

CommunityBot

modified May 10, 2018 at 20:23

180 votes

34 answers

492k views

spaCy: Can't find model 'en_core_web_sm'

What is the difference between spacy.load('en_core_web_sm') and spacy.load('en')? This link explains different model sizes. But I am still not clear how spacy.load('en_core_web_sm') and spacy.load('en'...

cottontail

26.6k

modified Apr 24 at 23:15

355 votes

6 answers

220k views

What is "entropy and information gain"? [closed]

I am reading this book (NLTK) and it is confusing. Entropy is defined as: Entropy is the sum of the probability of each label times the log probability of that same label How can I apply entropy ...

Waseem Ahmad Naeem

modified Aug 1, 2018 at 17:26

289 votes

14 answers

321k views

How to compute the similarity between two text documents?

I want to take two documents and determine how similar they are. Any programming language if fine but I prefer Python.

Franck Dernoncourt

85.2k

modified Mar 14, 2025 at 0:25

225 votes

18 answers

235k views

googletrans stopped working with error 'NoneType' object has no attribute 'group'

I was trying googletrans and it was working quite well. Since this morning I started getting below error. I went through multiple posts from stackoverflow and other sites and found probably my ip is ...

Amir Charkhi

modified Mar 23, 2023 at 7:49

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