Update metadata with huggingface_hub
Browse files
README.md
CHANGED
@@ -1,26 +1,39 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
-
|
4 |
tags:
|
5 |
- generated_from_keras_callback
|
6 |
-
|
7 |
-
-
|
8 |
-
results: []
|
9 |
-
language:
|
10 |
-
- en
|
11 |
metrics:
|
12 |
- seqeval
|
13 |
-
|
14 |
pipeline_tag: token-classification
|
15 |
-
datasets:
|
16 |
-
- Babelscape/multinerd
|
17 |
widget:
|
18 |
-
- text:
|
19 |
-
|
20 |
-
|
21 |
-
example_title:
|
22 |
-
- text:
|
23 |
-
example_title:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
24 |
---
|
25 |
|
26 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
license: apache-2.0
|
5 |
+
library_name: transformers
|
6 |
tags:
|
7 |
- generated_from_keras_callback
|
8 |
+
datasets:
|
9 |
+
- Babelscape/multinerd
|
|
|
|
|
|
|
10 |
metrics:
|
11 |
- seqeval
|
12 |
+
base_model: distilbert-base-uncased
|
13 |
pipeline_tag: token-classification
|
|
|
|
|
14 |
widget:
|
15 |
+
- text: After months of meticulous review and analysis, I am proud to present a study
|
16 |
+
that explores the deep connections between Epstein-Barr virus (EBV), Long COVID
|
17 |
+
and Myalgic Encephalomyelitis.
|
18 |
+
example_title: Example 1
|
19 |
+
- text: Is it dangerous for a tarantula to live in a paludarium?
|
20 |
+
example_title: Example 2
|
21 |
+
- text: Billionaire Charlie Munger, Warren Buffet's right hand man, dies at 99.
|
22 |
+
example_title: Example 3
|
23 |
+
model-index:
|
24 |
+
- name: i-be-snek/distilbert-base-uncased-finetuned-ner-exp_B
|
25 |
+
results:
|
26 |
+
- task:
|
27 |
+
type: token-classification
|
28 |
+
name: ner
|
29 |
+
dataset:
|
30 |
+
name: Babelscape/multinerd with only 5 tags
|
31 |
+
type: Babelscape/multinerd
|
32 |
+
split: test
|
33 |
+
metrics:
|
34 |
+
- type: seqeval
|
35 |
+
value: 0.9362959157462112
|
36 |
+
name: precision
|
37 |
---
|
38 |
|
39 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|