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I have been playing with KeyBERT and KeyLLM for a while now. And here is something I would like to achieve.
If have a text "CO2 emissions are high these days" and a list of candidate words, which m…
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I am struggled understanding word embeddings of FastText. According to the white paper [Enriching Word Vectors with Subword Information](https://arxiv.org/pdf/1607.04606.pdf), embeddings of a word is …
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Hi!
I trained embeddings with single placeholder and single init word, 11 pictures, 12k iterations and no --init_word in cell. Its going nice. Pictures in train folder are good. txt2img demo in your …
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# Classifying documents without any training data - Max Halford
I recently watched a lecture by Adam Tauman Kalai on stereotype bias in text data. The lecture is very good, but something that had not…
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Love the crate. Curious, any way to get these larger models like Mistral 7X8B into it?
Their pytoch_model.bin files are split into multiple files, and uncertain how to convert that. Have used t…
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### System Info
# Name Version Build Channel
transformers 4.41.0.dev0 pypi_0 pypi
pytorch 2.1.2 py3.9_…
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RuntimeError: Error(s) in loading state_dict for ChatGLMForConditionalGeneration:
size mismatch for transformer.embedding.word_embeddings.weight: copying a param with shape torch.Size([6479…
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Hi Andrej & Fei-fei,
I've been playing around with this and reading through the code -- many thanks for making it wonderful code to read! I was under the impression that it used pretrained word vector…
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Post questions here for this week's oritenting readings: Kozlowski, Austin, Matt Taddy, James Evans. 2019. “The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings.” American …
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I wonder whether there is an error due to what Pytorch is expecting as input to the nn.Embedding module.
In the function `train_data()`, it's written:
```
for i in xrange(max_sents):
_s…