Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +33 -0
- config.json +27 -0
- model_quantized.onnx +3 -0
- ort_config.json +33 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +55 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,33 @@
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# multilingual-e5-large — ONNX INT8
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Quantized ONNX version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) for CPU inference.
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## Model Details
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- **Base model:** intfloat/multilingual-e5-large (560M params, XLM-RoBERTa based)
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- **Format:** ONNX with dynamic INT8 quantization (AVX512 VNNI optimized)
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- **Embedding dimension:** 1024
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- **Max sequence length:** 512 tokens
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- **Languages:** 100+ including Danish, English, German, French, etc.
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## Usage
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Requires `"passage: "` prefix for documents and `"query: "` prefix for search queries (e5 model convention).
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```python
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from optimum.onnxruntime import ORTModelForFeatureExtraction
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from transformers import AutoTokenizer
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import numpy as np
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tokenizer = AutoTokenizer.from_pretrained("thomasbeste/multilingual-e5-large-onnx-int8")
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model = ORTModelForFeatureExtraction.from_pretrained("thomasbeste/multilingual-e5-large-onnx-int8")
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inputs = tokenizer("passage: Your text here", return_tensors="np", padding=True, truncation=True)
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outputs = model(**inputs)
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embedding = outputs.last_hidden_state.mean(axis=1) # Mean pooling
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embedding = embedding / np.linalg.norm(embedding) # L2 normalize
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```
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## License
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Same as base model: MIT
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config.json
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{
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"architectures": [
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"XLMRobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"dtype": "float32",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.57.6",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:a4f75d6c244f820c0cc146b94c8da0c6a4c78a99b600764c894c2f3214c731fb
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size 560628098
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ort_config.json
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{
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"one_external_file": true,
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"opset": null,
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"optimization": {},
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"quantization": {
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"activations_dtype": "QUInt8",
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"activations_symmetric": false,
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"format": "QOperator",
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"is_static": false,
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"mode": "IntegerOps",
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"nodes_to_exclude": [],
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"nodes_to_quantize": [],
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"operators_to_quantize": [
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"Conv",
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"MatMul",
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"Attention",
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"LSTM",
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"Gather",
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"Transpose",
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"EmbedLayerNormalization"
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],
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"per_channel": false,
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"qdq_add_pair_to_weight": false,
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"qdq_dedicated_pair": false,
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"qdq_op_type_per_channel_support_to_axis": {
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"MatMul": 1
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},
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"reduce_range": false,
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"weights_dtype": "QInt8",
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"weights_symmetric": true
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},
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"use_external_data_format": false
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a56def25aa40facc030ea8b0b87f3688e4b3c39eb8b45d5702b3a1300fe2a20
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size 17082734
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"250001": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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