Instructions to use n28div/modernbert-base-chocolm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use n28div/modernbert-base-chocolm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("n28div/modernbert-base-chocolm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +37 -0
- tokenizer.json +784 -0
- tokenizer_config.json +73 -0
README.md
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| 1 |
+
---
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| 2 |
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library_name: transformers
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tags: []
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---
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| 5 |
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| 6 |
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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| 13 |
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+
### Model Description
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| 15 |
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+
<!-- Provide a longer summary of what this model is. -->
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| 17 |
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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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| 19 |
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- **Developed by:** [More Information Needed]
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| 21 |
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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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| 24 |
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- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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| 32 |
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- **Repository:** [More Information Needed]
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| 33 |
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 36 |
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## Uses
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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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### Direct Use
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| 41 |
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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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| 43 |
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[More Information Needed]
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| 45 |
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### Downstream Use [optional]
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| 47 |
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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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| 49 |
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| 50 |
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[More Information Needed]
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| 51 |
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| 52 |
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### Out-of-Scope Use
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| 53 |
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| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 56 |
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[More Information Needed]
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| 57 |
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| 58 |
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## Bias, Risks, and Limitations
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| 59 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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| 63 |
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| 64 |
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### Recommendations
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| 65 |
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| 66 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 67 |
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| 68 |
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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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| 69 |
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| 70 |
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## How to Get Started with the Model
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| 71 |
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| 72 |
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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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## Training Details
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### Training Data
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| 79 |
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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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#### Preprocessing [optional]
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[More Information Needed]
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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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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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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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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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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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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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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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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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- **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]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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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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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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special_tokens_map.json
ADDED
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@@ -0,0 +1,37 @@
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{
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"cls_token": {
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| 3 |
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"content": "[CLS]",
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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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| 13 |
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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": "[SEP]",
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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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| 32 |
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"lstrip": false,
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"normalized": false,
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| 34 |
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"rstrip": false,
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| 35 |
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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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|
| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
| 4 |
+
"padding": null,
|
| 5 |
+
"added_tokens": [
|
| 6 |
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{
|
| 7 |
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"id": 0,
|
| 8 |
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"content": "<|padding|>",
|
| 9 |
+
"single_word": false,
|
| 10 |
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"lstrip": false,
|
| 11 |
+
"rstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"special": true
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"id": 1,
|
| 17 |
+
"content": "<|endoftext|>",
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"lstrip": false,
|
| 20 |
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"rstrip": false,
|
| 21 |
+
"normalized": false,
|
| 22 |
+
"special": true
|
| 23 |
+
},
|
| 24 |
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{
|
| 25 |
+
"id": 2,
|
| 26 |
+
"content": "[UNK]",
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"special": true
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"id": 3,
|
| 35 |
+
"content": "[CLS]",
|
| 36 |
+
"single_word": false,
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"rstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"special": true
|
| 41 |
+
},
|
| 42 |
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{
|
| 43 |
+
"id": 4,
|
| 44 |
+
"content": "[SEP]",
|
| 45 |
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"single_word": false,
|
| 46 |
+
"lstrip": false,
|
| 47 |
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"rstrip": false,
|
| 48 |
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"normalized": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
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{
|
| 52 |
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"id": 5,
|
| 53 |
+
"content": "[PAD]",
|
| 54 |
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"single_word": false,
|
| 55 |
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"lstrip": false,
|
| 56 |
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"rstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
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{
|
| 61 |
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"id": 6,
|
| 62 |
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"content": "[MASK]",
|
| 63 |
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"single_word": false,
|
| 64 |
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"lstrip": true,
|
| 65 |
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"rstrip": false,
|
| 66 |
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"normalized": false,
|
| 67 |
+
"special": true
|
| 68 |
+
}
|
| 69 |
+
],
|
| 70 |
+
"normalizer": {
|
| 71 |
+
"type": "NFC"
|
| 72 |
+
},
|
| 73 |
+
"pre_tokenizer": {
|
| 74 |
+
"type": "ByteLevel",
|
| 75 |
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"add_prefix_space": false,
|
| 76 |
+
"trim_offsets": true,
|
| 77 |
+
"use_regex": true
|
| 78 |
+
},
|
| 79 |
+
"post_processor": {
|
| 80 |
+
"type": "TemplateProcessing",
|
| 81 |
+
"single": [
|
| 82 |
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{
|
| 83 |
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"SpecialToken": {
|
| 84 |
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"id": "[CLS]",
|
| 85 |
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"type_id": 0
|
| 86 |
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}
|
| 87 |
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},
|
| 88 |
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{
|
| 89 |
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"Sequence": {
|
| 90 |
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"id": "A",
|
| 91 |
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"type_id": 0
|
| 92 |
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}
|
| 93 |
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},
|
| 94 |
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{
|
| 95 |
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"SpecialToken": {
|
| 96 |
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"id": "[SEP]",
|
| 97 |
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"type_id": 0
|
| 98 |
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}
|
| 99 |
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}
|
| 100 |
+
],
|
| 101 |
+
"pair": [
|
| 102 |
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{
|
| 103 |
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"SpecialToken": {
|
| 104 |
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"id": "[CLS]",
|
| 105 |
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"type_id": 0
|
| 106 |
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}
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
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"Sequence": {
|
| 110 |
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"id": "A",
|
| 111 |
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"type_id": 0
|
| 112 |
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}
|
| 113 |
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},
|
| 114 |
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{
|
| 115 |
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"SpecialToken": {
|
| 116 |
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"id": "[SEP]",
|
| 117 |
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"type_id": 0
|
| 118 |
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}
|
| 119 |
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},
|
| 120 |
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{
|
| 121 |
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"Sequence": {
|
| 122 |
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"id": "B",
|
| 123 |
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"type_id": 0
|
| 124 |
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}
|
| 125 |
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},
|
| 126 |
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{
|
| 127 |
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"SpecialToken": {
|
| 128 |
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"id": "[SEP]",
|
| 129 |
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"type_id": 0
|
| 130 |
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}
|
| 131 |
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|
| 132 |
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],
|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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3
|
| 138 |
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],
|
| 139 |
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|
| 140 |
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|
| 141 |
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]
|
| 142 |
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|
| 143 |
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|
| 144 |
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"id": "[MASK]",
|
| 145 |
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|
| 146 |
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6
|
| 147 |
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],
|
| 148 |
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"tokens": [
|
| 149 |
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"[MASK]"
|
| 150 |
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]
|
| 151 |
+
},
|
| 152 |
+
"[PAD]": {
|
| 153 |
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"id": "[PAD]",
|
| 154 |
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"ids": [
|
| 155 |
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5
|
| 156 |
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],
|
| 157 |
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"tokens": [
|
| 158 |
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"[PAD]"
|
| 159 |
+
]
|
| 160 |
+
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+
"*"
|
| 625 |
+
],
|
| 626 |
+
[
|
| 627 |
+
"h",
|
| 628 |
+
"dim"
|
| 629 |
+
],
|
| 630 |
+
[
|
| 631 |
+
"ĠG",
|
| 632 |
+
"b"
|
| 633 |
+
],
|
| 634 |
+
[
|
| 635 |
+
"s",
|
| 636 |
+
"u"
|
| 637 |
+
],
|
| 638 |
+
[
|
| 639 |
+
"su",
|
| 640 |
+
"s"
|
| 641 |
+
],
|
| 642 |
+
[
|
| 643 |
+
"(",
|
| 644 |
+
"#"
|
| 645 |
+
],
|
| 646 |
+
[
|
| 647 |
+
"a",
|
| 648 |
+
"u"
|
| 649 |
+
],
|
| 650 |
+
[
|
| 651 |
+
"au",
|
| 652 |
+
"g"
|
| 653 |
+
],
|
| 654 |
+
[
|
| 655 |
+
"b",
|
| 656 |
+
"b"
|
| 657 |
+
],
|
| 658 |
+
[
|
| 659 |
+
"#",
|
| 660 |
+
":("
|
| 661 |
+
],
|
| 662 |
+
[
|
| 663 |
+
"B",
|
| 664 |
+
"b"
|
| 665 |
+
],
|
| 666 |
+
[
|
| 667 |
+
"E",
|
| 668 |
+
"b"
|
| 669 |
+
],
|
| 670 |
+
[
|
| 671 |
+
"Ġ",
|
| 672 |
+
"N"
|
| 673 |
+
],
|
| 674 |
+
[
|
| 675 |
+
"#",
|
| 676 |
+
"#:"
|
| 677 |
+
],
|
| 678 |
+
[
|
| 679 |
+
"ĠC",
|
| 680 |
+
"b"
|
| 681 |
+
],
|
| 682 |
+
[
|
| 683 |
+
"A",
|
| 684 |
+
"b"
|
| 685 |
+
],
|
| 686 |
+
[
|
| 687 |
+
"#",
|
| 688 |
+
":(*"
|
| 689 |
+
],
|
| 690 |
+
[
|
| 691 |
+
"/",
|
| 692 |
+
"#"
|
| 693 |
+
],
|
| 694 |
+
[
|
| 695 |
+
")/",
|
| 696 |
+
"#"
|
| 697 |
+
],
|
| 698 |
+
[
|
| 699 |
+
"ĠF",
|
| 700 |
+
"b"
|
| 701 |
+
],
|
| 702 |
+
[
|
| 703 |
+
"min",
|
| 704 |
+
"maj"
|
| 705 |
+
],
|
| 706 |
+
[
|
| 707 |
+
"D",
|
| 708 |
+
"b"
|
| 709 |
+
],
|
| 710 |
+
[
|
| 711 |
+
"ĠBb",
|
| 712 |
+
"b"
|
| 713 |
+
],
|
| 714 |
+
[
|
| 715 |
+
"(",
|
| 716 |
+
"*"
|
| 717 |
+
],
|
| 718 |
+
[
|
| 719 |
+
"#",
|
| 720 |
+
"#:("
|
| 721 |
+
],
|
| 722 |
+
[
|
| 723 |
+
"G",
|
| 724 |
+
"b"
|
| 725 |
+
],
|
| 726 |
+
[
|
| 727 |
+
"#",
|
| 728 |
+
"##:"
|
| 729 |
+
],
|
| 730 |
+
[
|
| 731 |
+
"ĠEb",
|
| 732 |
+
"b"
|
| 733 |
+
],
|
| 734 |
+
[
|
| 735 |
+
"#",
|
| 736 |
+
"/"
|
| 737 |
+
],
|
| 738 |
+
[
|
| 739 |
+
":(",
|
| 740 |
+
"#"
|
| 741 |
+
],
|
| 742 |
+
[
|
| 743 |
+
"ĠAb",
|
| 744 |
+
"b"
|
| 745 |
+
],
|
| 746 |
+
[
|
| 747 |
+
"ĠDb",
|
| 748 |
+
"b"
|
| 749 |
+
],
|
| 750 |
+
[
|
| 751 |
+
"#",
|
| 752 |
+
"#:(*"
|
| 753 |
+
],
|
| 754 |
+
[
|
| 755 |
+
"ĠGb",
|
| 756 |
+
"b"
|
| 757 |
+
],
|
| 758 |
+
[
|
| 759 |
+
"ĠF",
|
| 760 |
+
"bb"
|
| 761 |
+
],
|
| 762 |
+
[
|
| 763 |
+
"C",
|
| 764 |
+
"b"
|
| 765 |
+
],
|
| 766 |
+
[
|
| 767 |
+
",#",
|
| 768 |
+
"#"
|
| 769 |
+
],
|
| 770 |
+
[
|
| 771 |
+
"ĠC",
|
| 772 |
+
"bb"
|
| 773 |
+
],
|
| 774 |
+
[
|
| 775 |
+
"ĠEb",
|
| 776 |
+
"bb"
|
| 777 |
+
],
|
| 778 |
+
[
|
| 779 |
+
"ĠAb",
|
| 780 |
+
"bb"
|
| 781 |
+
]
|
| 782 |
+
]
|
| 783 |
+
}
|
| 784 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<|padding|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<|endoftext|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[UNK]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[CLS]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[SEP]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"5": {
|
| 44 |
+
"content": "[PAD]",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"6": {
|
| 52 |
+
"content": "[MASK]",
|
| 53 |
+
"lstrip": true,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
}
|
| 59 |
+
},
|
| 60 |
+
"clean_up_tokenization_spaces": true,
|
| 61 |
+
"cls_token": "[CLS]",
|
| 62 |
+
"extra_special_tokens": {},
|
| 63 |
+
"mask_token": "[MASK]",
|
| 64 |
+
"model_input_names": [
|
| 65 |
+
"input_ids",
|
| 66 |
+
"attention_mask"
|
| 67 |
+
],
|
| 68 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 69 |
+
"pad_token": "[PAD]",
|
| 70 |
+
"sep_token": "[SEP]",
|
| 71 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 72 |
+
"unk_token": "[UNK]"
|
| 73 |
+
}
|