Premier modèle d'architecture gemma from scratch
Browse files- README.md +54 -0
- tokenizer.json +166 -0
- tokenizer_config.json +20 -0
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: small-ever
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# small-ever
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 500
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cpu
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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tokenizer.json
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{
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": {
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"strategy": {
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"Fixed": 512
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},
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"direction": "Left",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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},
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"added_tokens": [
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{
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"id": 0,
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"content": "<pad>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 1,
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"content": "</s>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 2,
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"content": "<s>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 3,
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"content": "<unk>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 4,
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"content": "<mask>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 5,
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"content": "Question:",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": false
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},
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{
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"id": 6,
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"content": "Réponse:",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": false
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}
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],
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"normalizer": {
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"type": "Replace",
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"pattern": {
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"String": " "
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},
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"content": "▁"
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},
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"pre_tokenizer": null,
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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}
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],
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"pair": [
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "B",
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"type_id": 1
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}
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}
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],
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"special_tokens": {}
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},
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"decoder": {
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"type": "Sequence",
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"decoders": [
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{
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"type": "Replace",
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"pattern": {
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"String": "▁"
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},
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"content": " "
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},
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{
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"type": "ByteFallback"
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},
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{
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"type": "Fuse"
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}
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]
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},
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"model": {
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"type": "BPE",
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"dropout": null,
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"unk_token": "<unk>",
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"continuing_subword_prefix": null,
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"end_of_word_suffix": null,
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"fuse_unk": true,
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"byte_fallback": true,
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"ignore_merges": false,
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"vocab": {
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"<pad>": 0,
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"</s>": 1,
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"<s>": 2,
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"<unk>": 3,
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"<mask>": 4,
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"Question:": 5,
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"Réponse:": 6,
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"e": 7,
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"C": 8,
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"r": 9,
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"▁": 10,
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"a": 11,
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"c": 12,
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"i": 13,
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"l": 14,
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"m": 15,
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"t": 16
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},
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"merges": []
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}
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}
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<s>",
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"eos_token": "</s>",
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"extra_special_tokens": [
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"<pad>",
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"</s>",
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"<s>",
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"<mask>",
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"Question:",
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"Réponse:"
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],
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"is_local": true,
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "GemmaTokenizer",
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"unk_token": "<unk>",
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"vocab_file": "tokenizer-gemma/tokenizer.model"
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}
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