First upload from amine

README.md

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+---
+language: multilingual
+
+datasets: wikipedia
+
+license: apache-2.0
+
+widget:
+- text: "Google generated 46 billion [MASK] in revenue."
+- text: "Paris is the capital of [MASK]."
+- text: "Algiers is the largest city in [MASK]."
+- text: "Paris est la [MASK] de la France."
+- text: "Paris est la capitale de la [MASK]."
+- text: "L'élection américaine a eu [MASK] en novembre 2020."
+- text: "تقع سويسرا في [MASK] أوروبا"
+- text: "إسمي محمد وأسكن في [MASK]."
+---
+
+# distilbert-base-25lang-cased
+
+We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
+
+Our versions give exactly the same representations produced by the original model which preserves the original accuracy.
+
+Handled languages: en, fr, es, de, zh, ar, ru, vi, el, bg, th, tr, hi, ur, sw, nl, uk, ro, pt, it, lt, no, pl, da and ja.
+
+For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf).
+
+## How to use
+
+```python
+from transformers import AutoTokenizer, AutoModel
+
+tokenizer = AutoTokenizer.from_pretrained("Geotrend/distilbert-base-25lang-cased")
+model = AutoModel.from_pretrained("Geotrend/distilbert-base-25lang-cased")
+
+```
+
+To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers).
+
+### How to cite
+
+```bibtex
+@inproceedings{smallermbert,
+  title={Load What You Need: Smaller Versions of Multilingual BERT},
+  author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
+  booktitle={SustaiNLP / EMNLP},
+  year={2020}
+}
+```
+
+## Contact 
+
+Please contact amine@geotrend.fr for any question, feedback or request.

config.json

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+{
+  "_name_or_path": "distilbert-base-multilingual-cased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForMaskedLM"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.4.1",
+  "vocab_size": 84985
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:23959580a1928f0d2c1d16cebd5430476679dc05079d05a665aa909e82f92516
+size 435511219

tokenizer_config.json

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+{"do_lower_case": false, "model_max_length": 512}