a module to visualise attention layer activations from transformer based models from huggingface
Project description
attention-visualiser
| Status | Coverage |
|---|---|
 |
 |
A module to visualise attention layer activations from transformer based models from huggingface
installation
pip install attention-visualiser
usage
from attention_visualiser import AttentionVisualiser
from transformers import AutoModel, AutoTokenizer
# visualising activations from gpt
model_name = "openai-community/openai-gpt"
model = AutoModel.from_pretrained(model_name)
model.eval()
tokenizer = AutoTokenizer.from_pretrained(model_name)
text = "Look on my Works, ye Mighty, and despair!"
encoded_inputs = tokenizer.encode_plus(text, truncation=True, return_tensors="pt")
visualiser = AttentionVisualiser(model, tokenizer)
# visualise from the first attn layer
visualiser.visualise_attn_layer(0, encoded_inputs)
local dev
# env setup
uv sync
source .venv/bin/activate
# tests
uv run pytest
# tests with coverage
uv run pytest --cov --cov-report=xml
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
attention_visualiser-1.0.2.tar.gz
(110.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file attention_visualiser-1.0.2.tar.gz.
File metadata
- Download URL: attention_visualiser-1.0.2.tar.gz
- Upload date:
- Size: 110.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.2 {"installer":{"name":"uv","version":"0.11.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7aa44038f75abcdb776e138d31be7931efeb4ecb69ccb277e723ffdd6ba5e2f5
|
|
| MD5 |
5e2f787d6dd3e21a37fd5b83df709589
|
|
| BLAKE2b-256 |
5b4cba8566313573dda3a2bc97b92c84cb6c836367bc9294ab96b4229abe6ed0
|
File details
Details for the file attention_visualiser-1.0.2-py3-none-any.whl.
File metadata
- Download URL: attention_visualiser-1.0.2-py3-none-any.whl
- Upload date:
- Size: 3.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.11.2 {"installer":{"name":"uv","version":"0.11.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6c26bec7f4f6d973b98ec582892b7d753dd8ab1abef5beec3d07f1e7ef7c2c7f
|
|
| MD5 |
23e748c6c93d597872b4df95ae66409b
|
|
| BLAKE2b-256 |
1dbf65fd86a23ef3b82cac7450c8d7d515926988307022d47f5b6448e45e5605
|
