Update README.md
Browse files
README.md
CHANGED
|
@@ -2,6 +2,7 @@
|
|
| 2 |
tags:
|
| 3 |
- BERT
|
| 4 |
- Text Classification
|
|
|
|
| 5 |
language: Arabic
|
| 6 |
license: mit
|
| 7 |
datasets:
|
|
@@ -31,8 +32,8 @@ datasets:
|
|
| 31 |
>>> ner_tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-ner-ace-gigabert")
|
| 32 |
>>> ner_pip = pipeline("ner", model=ner_model, tokenizer=ner_tokenizer, grouped_entities=True)
|
| 33 |
|
| 34 |
-
>>> re_model = AutoModelForSequenceClassification.from_pretrained("ychenNLP/arabic-relation-extraction
|
| 35 |
-
>>> re_tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-relation-extraction
|
| 36 |
>>> re_pip = pipeline("text-classification", model=re_model, tokenizer=re_tokenizer)
|
| 37 |
|
| 38 |
def process_ner_output(entity_mention, input):
|
|
|
|
| 2 |
tags:
|
| 3 |
- BERT
|
| 4 |
- Text Classification
|
| 5 |
+
- relation
|
| 6 |
language: Arabic
|
| 7 |
license: mit
|
| 8 |
datasets:
|
|
|
|
| 32 |
>>> ner_tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-ner-ace-gigabert")
|
| 33 |
>>> ner_pip = pipeline("ner", model=ner_model, tokenizer=ner_tokenizer, grouped_entities=True)
|
| 34 |
|
| 35 |
+
>>> re_model = AutoModelForSequenceClassification.from_pretrained("ychenNLP/arabic-relation-extraction")
|
| 36 |
+
>>> re_tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-relation-extraction")
|
| 37 |
>>> re_pip = pipeline("text-classification", model=re_model, tokenizer=re_tokenizer)
|
| 38 |
|
| 39 |
def process_ner_output(entity_mention, input):
|