Comments (4)
yes you are right. I did it already. So, it's started working... now going ahead for searching.
Regards,
from txtai.
It looks like that model isn't stored on Hugging Face's model hub yet. txtai only supports models there or local models.
You can run the following to pull the model locally
wget https://public.ukp.informatik.tu-darmstadt.de/reimers/sentence-transformers/v0.2/xlm-r-100langs-bert-base-nli-stsb-mean-tokens.zip
unzip xlm-r-100langs-bert-base-nli-stsb-mean-tokens.zip -d xlm-r-100langs-bert-base-nli-stsb-mean-tokens
Then use xlm-r-100langs-bert-base-nli-stsb-mean-tokens as the path when creating the Embeddings instance.
from txtai.
Hello,
thankyou for the reply
I tried with your solution. but now I am getting below error while loading the local model
OSError: Error no file named ['pytorch_model.bin', 'tf_model.h5', 'model.ckpt.index'] found in directory /content/model/xlm-r-100langs-bert-base-nli-stsb-mean-tokens or from_tf
set to False
from txtai.
How about the path /content/model/xlm-r-100langs-bert-base-nli-stsb-mean-tokens/0_Transformer
from txtai.
Related Issues (20)
- "Empty module name error" when loading embeddings with external vectorization HOT 2
- TypeError: 'NoneType' object is not iterable HOT 2
- Feature Request: Graph RAG - Add extra attributes HOT 4
- Cannot get it to work on M2 Mac HOT 3
- Fix issue with hardcoded autoawq version in example notebooks HOT 5
- AWQ is only available on GPU - no LLM instanciation possible HOT 6
- ImportError: NetworkX is not available - install "graph" extra to enable HOT 4
- Segmentation fault HOT 2
- API deps missing Pillow
- Add indexids only search
- Create temporary tables once per database session
- Add batch node and edge creation for graphs
- Add notebook on Retrieval Augmented and Guided Generation (RAGG)
- [Feature Request]: Auto-save during indexing HOT 3
- Split similarity extras install
- Cuda error on initialzing Embedding instance in a spawned subprocess aka a celery background task. HOT 2
- Add pgvector ANN backend
- Add RDBMS Graph
- New to txtai, some general questions HOT 3
- Add notebook covering txtai integration with Postgres
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from txtai.