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LLM-CLEM
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Loo-tokenizer

Text Generation
Transformers
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  1. README.md +199 -0
  2. special_tokens_map.json +5 -0
  3. tokenizer.json +2828 -0
  4. tokenizer_config.json +28 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+ ### Out-of-Scope Use
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+
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+ ## Training Details
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+ ### Training Data
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ [More Information Needed]
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+ ### Training Procedure
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+ [More Information Needed]
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+
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+ #### Training Hyperparameters
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+ ### Testing Data, Factors & Metrics
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+ #### Testing Data
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+ <!-- This should link to a Dataset Card if possible. -->
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+ [More Information Needed]
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
152
+
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+ ## Technical Specifications [optional]
154
+
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+ ### Model Architecture and Objective
156
+
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+ [More Information Needed]
158
+
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+ ### Compute Infrastructure
160
+
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+ [More Information Needed]
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+
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+ #### Hardware
164
+
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+ [More Information Needed]
166
+
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+ #### Software
168
+
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+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
184
+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
194
+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
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+ "usieurs"
2721
+ ],
2722
+ [
2723
+ "ĠEn",
2724
+ "voie"
2725
+ ],
2726
+ [
2727
+ "Ġsan",
2728
+ "s"
2729
+ ],
2730
+ [
2731
+ "Ġsupé",
2732
+ "rieurs"
2733
+ ],
2734
+ [
2735
+ "Ġ199",
2736
+ "7"
2737
+ ],
2738
+ [
2739
+ "Ġdon",
2740
+ "nant"
2741
+ ],
2742
+ [
2743
+ "Ġdim",
2744
+ "inue"
2745
+ ],
2746
+ [
2747
+ "Ġcomb",
2748
+ "inées"
2749
+ ],
2750
+ [
2751
+ "Ġcent",
2752
+ "aines"
2753
+ ],
2754
+ [
2755
+ "Ġcommen",
2756
+ "çant"
2757
+ ],
2758
+ [
2759
+ "Ġ3276",
2760
+ "8"
2761
+ ],
2762
+ [
2763
+ "Ġ9876",
2764
+ "54"
2765
+ ],
2766
+ [
2767
+ "impor",
2768
+ "te"
2769
+ ],
2770
+ [
2771
+ "Ġmil",
2772
+ "liers"
2773
+ ],
2774
+ [
2775
+ "Ġespa",
2776
+ "cés"
2777
+ ],
2778
+ [
2779
+ "Ġimpor",
2780
+ "tant"
2781
+ ],
2782
+ [
2783
+ "Ġimbri",
2784
+ "quées"
2785
+ ],
2786
+ [
2787
+ "Ġpuis",
2788
+ "sance"
2789
+ ],
2790
+ [
2791
+ "ĠQuel",
2792
+ "le"
2793
+ ],
2794
+ [
2795
+ "Ġseule",
2796
+ "ment"
2797
+ ],
2798
+ [
2799
+ "Ġcompos",
2800
+ "é"
2801
+ ],
2802
+ [
2803
+ "Ġbeau",
2804
+ "coup"
2805
+ ],
2806
+ [
2807
+ "Ġfacte",
2808
+ "urs"
2809
+ ],
2810
+ [
2811
+ "Ġvari",
2812
+ "ées"
2813
+ ],
2814
+ [
2815
+ "Ġvir",
2816
+ "gule"
2817
+ ],
2818
+ [
2819
+ "Ġlesquel",
2820
+ "s"
2821
+ ],
2822
+ [
2823
+ "expos",
2824
+ "ant"
2825
+ ]
2826
+ ]
2827
+ }
2828
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<|endoftext|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[PAD]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ }
19
+ },
20
+ "clean_up_tokenization_spaces": false,
21
+ "eos_token": "<|endoftext|>",
22
+ "extra_special_tokens": {},
23
+ "max_len": 128,
24
+ "model_max_length": 128,
25
+ "pad_token": "[PAD]",
26
+ "tokenizer_class": "PreTrainedTokenizerFast",
27
+ "unk_token": "<|endoftext|>"
28
+ }