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Hi,
I'm trying to run setfit with a local model
model = SetFitModel.from_pretrained(
"./paraphrase-multilingual-MiniLM-L12-v2", # local model
labels=["ok", "nok"]
I get the error men…
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I was wondering if there's any possibility of adding an OpenAI-compatible embedding endpoint, or if that wouldn't make sense with the underlying models.
My goal is to be able to swap out our OpenA…
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Whenever we call `SentenceTransformer(model_name)`, it downloads the pre-trained model from the server locally. But this happens during the runtime. I want to run this in a docker container and I want…
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## Description
I have installed Verba and Weaviate locally via docker and also installed Ollama in docker environment as well. These have both been installed in a local network that i have added to…
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Hello, I am having a little trouble for building a script to perform the inference in Java using the T5 model. I am using T5 for the **summarization** use case.
# 1️⃣ Model
Luckily the `t5-small` …
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Here are some stuff I'm going to rewrite for the new release:
- [x] Tokenizer: Define the tokenizer with [TextEncodeBase.jl](https://github.com/chengchingwen/TextEncodeBase.jl) and replace the old …
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Hi, I am using the partial_fit function to perform incremental learning with BERTopic. When I tried to save the BERTopic model using safetensors, I got the following error: KeyError: 'tokenizer'. The …
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C_MTEB评测时想从本地加载数据如T2Retrieval任务，应该怎么做呢
我修改了description中的hf_hub_name值
```'hf_hub_name': '/home/notebook/XXX/data/C-MTEB/T2Retrieval',```
但是在加载T2Retrieval-qrels数据时显示 KeyError: 'dev'； （运行时的key为valida…
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python: 3.11.6
Windows 11 machine
I've installed
```
!pip install "rerankers[all]
```
deployment_name = "gpt-4o"
ranker = Reranker(f"azure/{deployment_name}", model_type="rankllm", api_key =…
geg00 updated
2 months ago
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Hi, I'm using Torchserve to get embeddings for my pipeline. I would like to use some Emb…