model card created
Browse files
README.md
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
### Model Description
|
| 2 |
+
|
| 3 |
+
This repository has two models - `model_encode.pth` and `model_fairtracks.pth`.
|
| 4 |
+
Both of these models are used by the `attribute-standardizer` for standardizing the metadata based on user choice.
|
| 5 |
+
|
| 6 |
+
### Files Description
|
| 7 |
+
1. [model_encode.pth](https://huggingface.co/databio/attribute-standardizer-model6/blob/main/model_encode.pth) : This has the ENCODE metadata trained model.
|
| 8 |
+
2. [model_fairtracks.pth](https://huggingface.co/databio/attribute-standardizer-model6/blob/main/model_fairtracks.pth) : This has the FAIRTRACKS BLUEPRINT metadata trained model.
|
| 9 |
+
3. [vectorizer_encode.pkl](https://huggingface.co/databio/attribute-standardizer-model6/blob/main/vectorizer_encode.pkl) : This is a pickle file which contains a serialized `CountVectorizer` instance from the `scikit-learn` library. It is used for Bag of Words encoding which is used an an input to the model when the user selects ENCODE schema.
|
| 10 |
+
4. [vectorizer_fairtracks.pkl](https://huggingface.co/databio/attribute-standardizer-model6/blob/main/vectorizer_fairtracks.pkl): This is a pickle file which contains a serialized `CountVectorizer` instance from the `scikit-learn` library. It is used for Bag of Words encoding which is used an an input to the model when the user selects FAIRTRACKS schema.
|
| 11 |
+
5. [label_encoder_encode.pkl](https://huggingface.co/databio/attribute-standardizer-model6/blob/main/label_encoder_encode.pkl): This is a pickle file which contains the unqiue label values derived from the training data. The model classifies the output into these labels for ENCODE schema.
|
| 12 |
+
6. [label_encoder_fairtracks.pkl](https://huggingface.co/databio/attribute-standardizer-model6/blob/main/label_encoder_fairtracks.pkl): This is a pickle file which contains the unqiue label values derived from the training data. The model classifies the output into these labels for FAIRTRACKS schema.
|
| 13 |
+
|
| 14 |
+
### Usage
|
| 15 |
+
To load this model:
|
| 16 |
+
```
|
| 17 |
+
from huggingface_hub import hf_hub_download
|
| 18 |
+
|
| 19 |
+
model_fairtracks = hf_hub_download(repo_id="databio/attribute-standardizer-model6", filename="model_fairtracks.pth")
|
| 20 |
+
model_encode = hf_hub_download(repo_id="databio/attribute-standardizer-model6", filename="model_encode.pth")
|
| 21 |
+
```
|
| 22 |
+
To use this model, refer to the GitHub repository of `bedmess`:
|
| 23 |
+
|
| 24 |
+
[BEDMess](https://github.com/databio/bedmess)
|