model update

README.md

@@ -53,14 +53,14 @@ This model is fine-tuned version of [facebook/mbart-large-cc25](https://huggingf
 [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/lm-question-generation).
 
 
-Please cite our paper if you use the model ([TBA](TBA)).
+Please cite our paper if you use the model ([https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)).
 
 ```
 
 @inproceedings{ushio-etal-2022-generative,
-    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration: {A} {U}nified {B}enchmark and {E}valuation",
+    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
     author = "Ushio, Asahi  and
-        Alva-Manchego, Fernando and
+        Alva-Manchego, Fernando  and
         Camacho-Collados, Jose",
     booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
     month = dec,
@@ -77,17 +77,27 @@ Please cite our paper if you use the model ([TBA](TBA)).
 - **Training data:** [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) (default)
 - **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
 - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
-- **Paper:** [TBA](TBA)
+- **Paper:** [https://arxiv.org/abs/2210.03992](https://arxiv.org/abs/2210.03992)
 
 ### Usage
+- With [`lmqg`](https://github.com/asahi417/lm-question-generation#lmqg-language-model-for-question-generation-)
 ```python
 
-from transformers import pipeline
+from lmqg import TransformersQG
+# initialize model
+model = TransformersQG(language='ja', model='lmqg/mbart-large-cc25-jaquad')
+# model prediction
+question = model.generate_q(list_context=["フェルメールの作品では、17世紀のオランダの画家、ヨハネス・フェルメールの作品について記述する。フェルメールの作品は、疑問作も含め30数点しか現存しない。現存作品はすべて油彩画で、版画、下絵、素描などは残っていない。"], list_answer=["30数点"])
+
+```
 
-model_path = 'lmqg/mbart-large-cc25-jaquad'
-pipe = pipeline("text2text-generation", model_path)
+- With `transformers`
+```python
 
-# Question Generation
+from transformers import pipeline
+# initialize model
+pipe = pipeline("text2text-generation", 'lmqg/mbart-large-cc25-jaquad')
+# question generation
 question = pipe('ゾフィーは貴族出身ではあったが王族出身ではなく、ハプスブルク家の皇位継承者であるフランツ・フェルディナントとの結婚は貴賤結婚となった。皇帝フランツ・ヨーゼフは、2人の間に生まれた子孫が皇位を継がないことを条件として結婚を承認していた。視察が予定されている<hl>6月28日<hl>は2人の14回目の結婚記念日であった。')
 
 ```
@@ -126,11 +136,12 @@ The following hyperparameters were used during fine-tuning:
 The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/mbart-large-cc25-jaquad/raw/main/trainer_config.json).
 
 ## Citation
+```
 
 @inproceedings{ushio-etal-2022-generative,
-    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration: {A} {U}nified {B}enchmark and {E}valuation",
+    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
     author = "Ushio, Asahi  and
-        Alva-Manchego, Fernando and
+        Alva-Manchego, Fernando  and
         Camacho-Collados, Jose",
     booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
     month = dec,
@@ -139,3 +150,4 @@ The full configuration can be found at [fine-tuning config file](https://hugging
     publisher = "Association for Computational Linguistics",
 }
 
+```