mcsabai commited on
Commit
65b39e2
·
1 Parent(s): 4d82669

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +20 -46
README.md CHANGED
@@ -1,47 +1,3 @@
1
- Hugging Face's logo
2
- Hugging Face
3
- Search models, datasets, users...
4
- Models
5
- Datasets
6
- Spaces
7
- Docs
8
- Solutions
9
- Pricing
10
-
11
-
12
- Hugging Face is way more fun with friends and colleagues! 🤗 Join an organization
13
-
14
- mcsabai
15
- /
16
- huBert-fine-tuned-hungarian-squadv1 Copied
17
- like
18
- 1
19
- Question Answering
20
- PyTorch
21
- TensorFlow
22
- Transformers
23
- hu
24
- bert
25
- AutoTrain Compatible
26
- Model card
27
- Files and versions
28
- Community
29
- Settings
30
- huBert-fine-tuned-hungarian-squadv1
31
- /
32
- README.md
33
- mcsabai's picture
34
- mcsabai
35
- Update README.md
36
- 4d72ef9
37
- about 2 months ago
38
- raw
39
- history
40
- blame
41
- edit
42
- delete
43
- Safe
44
- 2.03 kB
45
  ---
46
  language: hu
47
  thumbnail:
@@ -57,8 +13,26 @@ widget:
57
 
58
  ## MODEL DESCRIPTION
59
 
60
- huBERT base model (cased) fine-tuned on SQUADv2!! NEW
61
  - huBert model + Tokenizer: https://huggingface.co/SZTAKI-HLT/hubert-base-cc
62
- - This is a demo model. Date of publication: 2022.07.06.
 
 
63
 
 
64
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  language: hu
3
  thumbnail:
 
13
 
14
  ## MODEL DESCRIPTION
15
 
16
+ huBERT base model (cased) fine-tuned on SQuAD v2 (NEW!!)
17
  - huBert model + Tokenizer: https://huggingface.co/SZTAKI-HLT/hubert-base-cc
18
+ - Hungarian SQUAD v2 dataset: Machine Translated SQuAD dataset (Google Translate API)
19
+
20
+ ## Model in action
21
 
22
+ - Fast usage with pipelines:
23
 
24
+ ```python
25
+ from transformers import pipeline
26
+ qa_pipeline = pipeline(
27
+ "question-answering",
28
+ model="mcsabai/huBert-fine-tuned-hungarian-squadv2",
29
+ tokenizer="mcsabai/huBert-fine-tuned-hungarian-squadv2"
30
+ )
31
+ predictions = qa_pipeline({
32
+ 'context': "Anita vagyok és Budapesten élek már több mint 4 éve.",
33
+ 'question': "Hol lakik Anita?"
34
+ })
35
+ print(predictions)
36
+ # output:
37
+ # {'score': 0.9892364144325256, 'start': 16, 'end': 26, 'answer': 'Budapesten'}
38
+ ```