Upload tokenizer

README.md

@@ -0,0 +1,199 @@
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer.json

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+{
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+  "truncation": null,
+  "padding": null,
+  "added_tokens": [
+    {
+      "id": 0,
+      "content": "<|endoftext|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    }
+  ],
+  "normalizer": null,
+  "pre_tokenizer": {
+    "type": "ByteLevel",
+    "add_prefix_space": false,
+    "trim_offsets": true,
+    "use_regex": true
+  },
+  "post_processor": {
+    "type": "ByteLevel",
+    "add_prefix_space": true,
+    "trim_offsets": true,
+    "use_regex": true
+  },
+  "decoder": null,
+  "model": {
+    "type": "BPE",
+    "dropout": null,
+    "unk_token": "<|endoftext|>",
+    "continuing_subword_prefix": null,
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+      "end oft",
+      "endoft ext",
+      "a d",
+      "s e",
+      "Ġ B",
+      "Ġd o",
+      "Ġ e",
+      "Ġhapp y",
+      "Ġ very",
+      "en t",
+      "Ġ M",
+      "' s",
+      "e s",
+      "Ġsa w",
+      "On e",
+      "Ġth at",
+      "ou ld",
+      "Ġm om",
+      "Ġf or",
+      "itt le",
+      "Ġs h",
+      "Ġl ittle",
+      "Ġs he",
+      ". \"",
+      "im e",
+      "Ġn am",
+      "c h",
+      "Ġt ime",
+      "Ġ k",
+      "ou nd",
+      "Ġs o",
+      "Ġthe re",
+      "Ġnam ed",
+      "Ġb o",
+      "Ġs m",
+      "ĠL ily",
+      "Ġwe re",
+      "Ġwant ed",
+      "Ġn e",
+      "! \"",
+      "Ġb ut",
+      "Ġfriend s",
+      "ou t",
+      "v ed",
+      "ĠT om",
+      "T he",
+      "ir d",
+      "h t",
+      "e l",
+      "Ġb ird",
+      "Ġa n",
+      "a l",
+      "a ke",
+      "Ġto o",
+      "ĠI t",
+      "u g",
+      "om e",
+      "Ġw ent",
+      "id e",
+      "Ġhe l",
+      "On ce",
+      "Ġw h",
+      "Ġa ll",
+      "Ġ is",
+      "Ġhel p",
+      "u e",
+      "Ġl o",
+      "Ġl oo",
+      "t er",
+      "Ġup on",
+      "Ġ A",
+      "r y",
+      "o re",
+      "Ġf un",
+      "i nd",
+      "Ġto y",
+      "g et",
+      "am e",
+      "i ll",
+      "Ġa s",
+      "Ġa t",
+      "r a",
+      "Ġd id",
+      "Ġ j",
+      "get her",
+      "Ġ re",
+      "u r",
+      "Ġ o",
+      "Ġto gether",
+      "Ġs e",
+      "Ġc at",
+      "a ck",
+      "Ġt re",
+      "l y",
+      "oo d",
+      "i c",
+      "Ġdo g",
+      "t ed",
+      "Ġc ould",
+      "Ġc an",
+      "Ġthe ir",
+      "ar d",
+      "ar k",
+      "? \"",
+      "e c",
+      "Ġplay ed",
+      "Ġb all",
+      "Ġg ir",
+      "Ġr o",
+      "Ġh im",
+      "Ġgir l",
+      "w ay",
+      "he d",
+      "Ġg o",
+      "m y",
+      "Ġl e",
+      "Ġa re",
+      "' t",
+      "Ġ out",
+      "Ġf r",
+      "a in",
+      "Ġk n",
+      "he n",
+      "Ġthe m",
+      "u m",
+      "a x",
+      "Ġsa d",
+      "Ġbo y",
+      "Ġtre e",
+      "u l",
+      "ot her",
+      "Ġm an",
+      "Ġha ve",
+      "Ġlo ved"
+    ]
+  }
+}

tokenizer_config.json

@@ -0,0 +1,18 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "<|endoftext|>"
+}