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Is there any plan to release pre-trained word embeddings, for 3 different models, namely A, B and C?
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### Confirm that this is a metadata correction
- [X] I want to file corrections to make the metadata match the PDF file hosted on the ACL Anthology.
### Anthology ID
2024.bea-1.48
### Type of Pape…
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**word2vec**
![image](https://user-images.githubusercontent.com/23091984/32687824-deee297c-c6ff-11e7-8b18-ecfc1d2af627.png)
> from http://xingjunjie.me/2017/08/07/Neural-Networks-from-Scratch/
…
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**Describe the bug**
https://github.com/NVIDIA/Megatron-LM/blob/01ca03f11e89f4f85682dcac647c2b913b25fcee/examples/run_simple_mcore_train_loop.py#L118
When I moditied `tensor_model_parallel_size` in `r…
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### Describe the issue
LLM: ChatGLM3
API: FastChat
My Skill:
```python
from langchain_community.vectorstores import Milvus
from langchain_community.embeddings import HuggingFaceBgeEmbeddings…
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## 0. Paper
@inproceedings{tian-etal-2014-probabilistic,
title = "A Probabilistic Model for Learning Multi-Prototype Word Embeddings",
author = "Tian, Fei and
Dai, Hanjun and
…
a1da4 updated
2 years ago
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## 一言でいうと
単語には複数の語義があるのに各単語につき一つの単語ベクトルしか学習していない問題に対して、語義ごとにベクトルを作ることを提案している。手法としてはPoSタガーを用いてタグ付けしたコーパスを用いて、CBOWやSkip-gramで語義を予測させることで学習する。"主観的"な評価の結果、確かに語義ごとのベクトルを得られていた。
### 論文リンク
https://arxiv…
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i find the bilm/model/dump_token_embeddings is not useful for the token format imput?
cause the char_cnn is not accessible to the token format input while dumping token embeddings
def dump_token…
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Hello everyone, I am currently working on my undergraduate thesis on matching job descriptions to resumes based on the contents of both. Recently, I came across the following statement by Schmitt et a…
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I am running this basic training example on an Apple M3 Pro. I am using Python 3.10, sentence-transformers 3.0.1, accelerate 0.31 and torch 2.3.1.
```
from sentence_transformers import SentenceTra…