ZhiyuanChen commited on
Commit
cf0503a
·
verified ·
1 Parent(s): 2f2c71c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -9
README.md CHANGED
@@ -7,7 +7,7 @@ sdk: gradio
7
  pinned: true
8
  license: agpl-3.0
9
  short_description: Accelerate Molecular Biology Research with Machine Learning
10
- sdk_version: 5.16.0
11
  ---
12
 
13
 
@@ -29,19 +29,19 @@ MultiMolecule serves as a foundation for advancing research at the intersection
29
 
30
  ### 📑 Resources
31
 
32
- - **[Model Hub](https://multimolecule.danling.org/models)**: Models designed for biomolecular data.
33
- - **[Dataset Hub](https://multimolecule.danling.org/datasets)**: Processed biomolecular datasets.
34
 
35
  ### 🛠️ Tools
36
 
37
- - **[`pipelines`](pipelines)**: End-to-end workflows for applying models.
38
- - **[`runner`](runner)**: Automatic Runner for training models.
39
 
40
  ### ⚙️ Infrastructure
41
 
42
- - **[`data`](data)**: Smart [`Dataset`][multimolecule.data.Dataset] that automatically infer tasks—including their level (sequence, token, contact) and type (classification, regression).
43
- - **[`tokenisers`](tokenisers)**: Tokenizers for biomolecular sequences.
44
- - **[`module`](module)**: Neural network building blocks.
45
 
46
  ## 🔧 Installation
47
 
@@ -84,4 +84,4 @@ For additional terms and clarifications, please refer to our [License FAQ](licen
84
 
85
  Please join us in building an open research community.
86
 
87
- `SPDX-License-Identifier: AGPL-3.0-or-later`
 
7
  pinned: true
8
  license: agpl-3.0
9
  short_description: Accelerate Molecular Biology Research with Machine Learning
10
+ sdk_version: 5.25.2
11
  ---
12
 
13
 
 
29
 
30
  ### 📑 Resources
31
 
32
+ - **[Model Hub](https://huggingface.co/multimolecule)**: Models designed for biomolecular data.
33
+ - **[Dataset Hub](https://huggingface.co/multimolecule)**: Processed biomolecular datasets.
34
 
35
  ### 🛠️ Tools
36
 
37
+ - **[`pipelines`](https://multimolecule.danling.org/pipelines)**: End-to-end workflows for applying models.
38
+ - **[`runner`](https://multimolecule.danling.org/runner)**: Automatic Runner for training models.
39
 
40
  ### ⚙️ Infrastructure
41
 
42
+ - **[`data`](https://multimolecule.danling.org/data)**: Smart Dataset that automatically infer tasks—including their level (sequence, token, contact) and type (classification, regression).
43
+ - **[`tokenisers`](https://multimolecule.danling.org/tokenisers)**: Tokenizers for biomolecular sequences.
44
+ - **[`module`](https://multimolecule.danling.org/module)**: Neural network building blocks.
45
 
46
  ## 🔧 Installation
47
 
 
84
 
85
  Please join us in building an open research community.
86
 
87
+ `SPDX-License-Identifier: AGPL-3.0-or-later`