Create README.md

README.md

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+---
+language: 
+- ru
+- en
+- ru-RU
+tags:
+- xlm-roberta-large
+datasets:
+- IlyaGusev/headline_cause
+license: apache-2.0
+---
+
+# XLM-RoBERTa HeadlineCause Simple
+
+## Model description
+
+TBA
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+from tqdm.notebook import tqdm
+from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
+
+def get_batch(data, batch_size):
+    start_index = 0
+    while start_index < len(data):
+        end_index = start_index + batch_size
+        batch = data[start_index:end_index]
+        yield batch
+        start_index = end_index
+
+
+def pipe_predict(data, pipe, batch_size=64):
+    raw_preds = []
+    for batch in tqdm(get_batch(data, batch_size)):
+        raw_preds += pipe(batch)
+    return raw_preds
+
+MODEL_NAME = TOKENIZER_NAME = "IlyaGusev/xlm_roberta_large_headline_cause_simple"
+tokenizer = AutoTokenizer.from_pretrained(TOKENIZER_NAME, do_lower_case=False)
+model = AutoModelForSequenceClassification.from_pretrained(MODEL_NAME)
+model.eval()
+pipe = pipeline("text-classification", model=model, tokenizer=tokenizer, framework="pt", return_all_scores=True)
+texts = [
+    (
+        "Judge issues order to allow indoor worship in NC churches",
+        "Some local churches resume indoor services after judge lifted NC governor’s restriction"
+    ),
+    (
+        "Gov. Kevin Stitt defends $2 million purchase of malaria drug touted by Trump",
+        "Oklahoma spent $2 million on malaria drug touted by Trump"
+    ),
+    (
+        "Песков опроверг свой перевод на удаленку",
+        "Дмитрий Песков перешел на удаленку"
+    )
+]
+pipe_predict(texts, pipe)
+```
+
+#### Limitations and bias
+
+[More Information Needed]
+
+## Training data
+
+[More Information Needed]
+
+## Training procedure
+
+[More Information Needed]
+
+## Eval results
+
+[More Information Needed]
+
+### BibTeX entry and citation info
+
+```bibtex
+@misc{gusev2021headlinecause,
+      title={HeadlineCause: A Dataset of News Headlines for Detecting Casualties}, 
+      author={Ilya Gusev and Alexey Tikhonov},
+      year={2021},
+      eprint={2108.12626},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```