Comments (2)
This warning is expected to be normal. We use the tokenizer config from here. Compared to the Bert tokenizer, Blip tokenizer only introduces two additional special tokens. Therefore, the code initially loads the Bert tokenizer and then appends two special tokens, which triggers the warning during tokenizer loading. For further details, refer to this file.
As for the pre-trained weights, you can download them to your local machine first, and then modify the paths in the config.
from git.
problem solved, thank you very much.
from git.
Related Issues (7)
- hugging face HOT 1
- AssertionError in runpy.py HOT 1
- torch.distributed.elastic.multiprocessing.errors.ChildFailedError in tools/train.py HOT 6
- Details regarding few-shot and zero shot datasets HOT 5
- KeyError: 'Duplicate key is not allowed among bases' HOT 4
- LoveDA Few Shot training annotation format HOT 4
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 git.