Upload TextClassificationPipeline

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]

config.json

@@ -0,0 +1,133 @@
+{
+  "_name_or_path": "models/mvid_deep_vk_bge_ecom_18_8_0.1_5e-05_1e-06_text_mark_st_weights_valid_in_train",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "\u0414\u043e\u043b\u0433\u0430\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0430",
+    "1": "\u0414\u043e\u0441\u0442\u0430\u0432\u043a\u0430 \u0441\u0442\u0430\u043b\u0430 \u0434\u043e\u043b\u0433\u043e\u0439",
+    "2": "\u0412\u0440\u0435\u043c\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438 \u043d\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u0437\u0430\u044f\u0432\u043b\u0435\u043d\u043e\u043c\u0443",
+    "3": "\u0420\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u044b\u0435 \u043e\u043f\u043e\u0437\u0434\u0430\u043d\u0438\u044f",
+    "4": "\u041d\u0435 \u043e\u0442\u0441\u043b\u0435\u0434\u0438\u0442\u044c \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438",
+    "5": "\u041a\u0443\u0440\u044c\u0435\u0440 \u043d\u0430 \u043a\u0430\u0440\u0442\u0435",
+    "6": "\u041d\u0435\u0442 \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438 \u043f\u043e \u0430\u0434\u0440\u0435\u0441\u0443",
+    "7": "\u041d\u0435 \u043f\u0440\u0435\u0434\u0443\u043f\u0440\u0435\u0436\u0434\u0430\u0435\u043c \u043e\u0431 \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u0438 \u0442\u043e\u0432\u0430\u0440\u0430",
+    "8": "\u0412\u044b\u0441\u043e\u043a\u0430\u044f \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0441\u0443\u043c\u043c\u0430 \u0437\u0430\u043a\u0430\u0437\u0430",
+    "9": "\u0421\u0443\u043c\u043c\u0430 \u0437\u0430\u043a\u0430\u0437\u0430 \u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \u0432\u043e \u0432\u0440\u0435\u043c\u044f \u043d\u0430\u0431\u043e\u0440\u0430 \u043a\u043e\u0440\u0437\u0438\u043d\u044b",
+    "10": "\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0441\u0443\u043c\u043c\u0430 \u0437\u0430\u043a\u0430\u0437\u0430",
+    "11": "\u0422\u043e\u0432\u0430\u0440\u044b \u0441 \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u043c \u0441\u0440\u043e\u043a\u043e\u043c \u0433\u043e\u0434\u043d\u043e\u0441\u0442\u0438",
+    "12": "\u0412\u044b\u0441\u043e\u043a\u0438\u0435 \u0446\u0435\u043d\u044b",
+    "13": "\u041d\u0435 \u0434\u043e\u0432\u0435\u0437\u043b\u0438 \u0442\u043e\u0432\u0430\u0440",
+    "14": "\u0422\u043e\u0432\u0430\u0440 \u0438\u0441\u043f\u043e\u0440\u0447\u0435\u043d \u0432\u043e \u0432\u0440\u0435\u043c\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438",
+    "15": "\u041f\u0440\u043e\u0441\u0440\u043e\u0447\u0435\u043d\u043d\u044b\u0435 \u0442\u043e\u0432\u0430\u0440\u044b",
+    "16": "\u0417\u0430\u043c\u0435\u0447\u0430\u043d\u0438\u044f \u043f\u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u043a\u0443\u0440\u044c\u0435\u0440\u043e\u0432",
+    "17": "\u041d\u0435 \u0447\u0438\u0442\u0430\u0435\u043c \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0438",
+    "18": "\u0421\u043f\u0430\u0441\u0438\u0431\u043e",
+    "19": "\u041d\u0435\u0442 \u0441\u043c\u044b\u0441\u043b\u0430",
+    "20": "\u0412\u0441\u0451 \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e",
+    "21": "\u0412\u0441\u0451 \u043f\u043b\u043e\u0445\u043e",
+    "22": "\u0421\u043a\u0438\u0434\u043a\u0438 \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u043e\u044f\u043d\u043d\u044b\u0445 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432",
+    "23": "\u0411\u043e\u043b\u044c\u0448\u0435 \u0430\u043a\u0446\u0438\u0439/\u0441\u043a\u0438\u0434\u043e\u043a",
+    "24": "\u0421\u043a\u0438\u0434\u043a\u0430/\u043f\u0440\u043e\u043c\u043e\u043a\u043e\u0434 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043d\u0435 \u043d\u0430 \u0432\u0441\u0435 \u0442\u043e\u0432\u0430\u0440\u044b",
+    "25": "\u041d\u0435\u043f\u043e\u043d\u044f\u0442\u043d\u043e \u043a\u0430\u043a \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u0441\u043a\u0438\u0434\u043a\u0430",
+    "26": "\u041d\u0435 \u0441\u0440\u0430\u0431\u043e\u0442\u0430\u043b\u0430 \u0441\u043a\u0438\u0434\u043a\u0430/\u0430\u043a\u0446\u0438\u044f/\u043f\u0440\u043e\u043c\u043e\u043a\u043e\u0434",
+    "27": "\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0442\u043e\u0432\u0430\u0440\u043e\u0432",
+    "28": "\u041c\u0430\u043b\u0435\u043d\u044c\u043a\u0438\u0439 \u0430\u0441\u0441\u043e\u0440\u0442\u0438\u043c\u0435\u043d\u0442",
+    "29": "\u041d\u0435\u0442 \u0432 \u043d\u0430\u043b\u0438\u0447\u0438\u0438 \u0442\u043e\u0432\u0430\u0440\u0430",
+    "30": "\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0438",
+    "31": "\u0417\u0430\u043c\u0435\u0447\u0430\u043d\u0438\u044f \u043f\u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u0441\u0431\u043e\u0440\u0449\u0438\u043a\u0430",
+    "32": "\u041e\u0442\u043c\u0435\u043d\u0438\u043b\u0438 \u0437\u0430\u043a\u0430\u0437",
+    "33": "\u0417\u043d\u0430\u043d\u0438\u0435 \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430",
+    "34": "\u041f\u0440\u0438\u0432\u0435\u0437\u043b\u0438 \u0447\u0443\u0436\u043e\u0439 \u0437\u0430\u043a\u0430\u0437",
+    "35": "\u0414\u043e\u043b\u0433\u043e \u043d\u0430 \u0441\u0431\u043e\u0440\u043a\u0435",
+    "36": "\u0421\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u044e\u0442 \u0441 \u043a\u043e\u043d\u043a\u0443\u0440\u0435\u043d\u0442\u0430\u043c\u0438",
+    "37": "\u0421\u043a\u0438\u0434\u043a\u0438 \u0437\u0430 \u043e\u043f\u043e\u0437\u0434\u0430\u043d\u0438\u0435",
+    "38": "\u041a\u0443\u0440\u044c\u0435\u0440\u044b \u043e\u0442\u043c\u0435\u043d\u044f\u044e\u0442 \u0437\u0430\u043a\u0430\u0437",
+    "39": "\u041d\u0435 \u0442\u044f\u043d\u0435\u0442 \u043d\u0430 \u0442\u0435\u043d\u0434\u0435\u043d\u0446\u0438\u044e",
+    "40": "\u0418\u0441\u043f\u043e\u0440\u0447\u0435\u043d\u043d\u044b\u0435 \u0442\u043e\u0432\u0430\u0440\u044b",
+    "41": "\u041d\u0435 \u043d\u0440\u0430\u0432\u0438\u0442\u0441\u044f \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f",
+    "42": "\u041f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0437\u0430\u0432\u0438\u0441\u0430\u0435\u0442",
+    "43": "\u0411\u044b\u0441\u0442\u0440\u0430\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0430",
+    "44": "\u0423\u0441\u043b\u043e\u0432\u0438\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u043a\u0443\u0440\u044c\u0435\u0440\u043e\u0432",
+    "45": "\u0421\u0431\u0435\u0440\u0421\u043f\u0430\u0441\u0438\u0431\u043e",
+    "46": "\u0412\u0440\u0435\u043c\u044f \u0440\u0430\u0431\u043e\u0442\u044b",
+    "47": "\u041d\u0435\u0443\u0434\u043e\u0431\u043d\u044b\u0439 \u043f\u043e\u0438\u0441\u043a",
+    "48": "\u041f\u043b\u0430\u0442\u0435\u0436\u0438",
+    "49": "\u0412\u043e\u0437\u0432\u0440\u0430\u0442 \u0434\u0435\u043d\u0435\u0433"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "\u0411\u043e\u043b\u044c\u0448\u0435 \u0430\u043a\u0446\u0438\u0439/\u0441\u043a\u0438\u0434\u043e\u043a": 23,
+    "\u0411\u044b\u0441\u0442\u0440\u0430\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0430": 43,
+    "\u0412\u043e\u0437\u0432\u0440\u0430\u0442 \u0434\u0435\u043d\u0435\u0433": 49,
+    "\u0412\u0440\u0435\u043c\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438 \u043d\u0435 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u0437\u0430\u044f\u0432\u043b\u0435\u043d\u043e\u043c\u0443": 2,
+    "\u0412\u0440\u0435\u043c\u044f \u0440\u0430\u0431\u043e\u0442\u044b": 46,
+    "\u0412\u0441\u0451 \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e": 20,
+    "\u0412\u0441\u0451 \u043f\u043b\u043e\u0445\u043e": 21,
+    "\u0412\u044b\u0441\u043e\u043a\u0430\u044f \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0441\u0443\u043c\u043c\u0430 \u0437\u0430\u043a\u0430\u0437\u0430": 8,
+    "\u0412\u044b\u0441\u043e\u043a\u0438\u0435 \u0446\u0435\u043d\u044b": 12,
+    "\u0414\u043e\u043b\u0433\u0430\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0430": 0,
+    "\u0414\u043e\u043b\u0433\u043e \u043d\u0430 \u0441\u0431\u043e\u0440\u043a\u0435": 35,
+    "\u0414\u043e\u0441\u0442\u0430\u0432\u043a\u0430 \u0441\u0442\u0430\u043b\u0430 \u0434\u043e\u043b\u0433\u043e\u0439": 1,
+    "\u0417\u0430\u043c\u0435\u0447\u0430\u043d\u0438\u044f \u043f\u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u043a\u0443\u0440\u044c\u0435\u0440\u043e\u0432": 16,
+    "\u0417\u0430\u043c\u0435\u0447\u0430\u043d\u0438\u044f \u043f\u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u0441\u0431\u043e\u0440\u0449\u0438\u043a\u0430": 31,
+    "\u0417\u043d\u0430\u043d\u0438\u0435 \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430": 33,
+    "\u0418\u0441\u043f\u043e\u0440\u0447\u0435\u043d\u043d\u044b\u0435 \u0442\u043e\u0432\u0430\u0440\u044b": 40,
+    "\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0438": 30,
+    "\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0442\u043e\u0432\u0430\u0440\u043e\u0432": 27,
+    "\u041a\u0443\u0440\u044c\u0435\u0440 \u043d\u0430 \u043a\u0430\u0440\u0442\u0435": 5,
+    "\u041a\u0443\u0440\u044c\u0435\u0440\u044b \u043e\u0442\u043c\u0435\u043d\u044f\u044e\u0442 \u0437\u0430\u043a\u0430\u0437": 38,
+    "\u041c\u0430\u043b\u0435\u043d\u044c\u043a\u0438\u0439 \u0430\u0441\u0441\u043e\u0440\u0442\u0438\u043c\u0435\u043d\u0442": 28,
+    "\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0441\u0443\u043c\u043c\u0430 \u0437\u0430\u043a\u0430\u0437\u0430": 10,
+    "\u041d\u0435 \u0434\u043e\u0432\u0435\u0437\u043b\u0438 \u0442\u043e\u0432\u0430\u0440": 13,
+    "\u041d\u0435 \u043d\u0440\u0430\u0432\u0438\u0442\u0441\u044f \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f": 41,
+    "\u041d\u0435 \u043e\u0442\u0441\u043b\u0435\u0434\u0438\u0442\u044c \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438": 4,
+    "\u041d\u0435 \u043f\u0440\u0435\u0434\u0443\u043f\u0440\u0435\u0436\u0434\u0430\u0435\u043c \u043e\u0431 \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u0438 \u0442\u043e\u0432\u0430\u0440\u0430": 7,
+    "\u041d\u0435 \u0441\u0440\u0430\u0431\u043e\u0442\u0430\u043b\u0430 \u0441\u043a\u0438\u0434\u043a\u0430/\u0430\u043a\u0446\u0438\u044f/\u043f\u0440\u043e\u043c\u043e\u043a\u043e\u0434": 26,
+    "\u041d\u0435 \u0442\u044f\u043d\u0435\u0442 \u043d\u0430 \u0442\u0435\u043d\u0434\u0435\u043d\u0446\u0438\u044e": 39,
+    "\u041d\u0435 \u0447\u0438\u0442\u0430\u0435\u043c \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0438": 17,
+    "\u041d\u0435\u043f\u043e\u043d\u044f\u0442\u043d\u043e \u043a\u0430\u043a \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u0441\u043a\u0438\u0434\u043a\u0430": 25,
+    "\u041d\u0435\u0442 \u0432 \u043d\u0430\u043b\u0438\u0447\u0438\u0438 \u0442\u043e\u0432\u0430\u0440\u0430": 29,
+    "\u041d\u0435\u0442 \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438 \u043f\u043e \u0430\u0434\u0440\u0435\u0441\u0443": 6,
+    "\u041d\u0435\u0442 \u0441\u043c\u044b\u0441\u043b\u0430": 19,
+    "\u041d\u0435\u0443\u0434\u043e\u0431\u043d\u044b\u0439 \u043f\u043e\u0438\u0441\u043a": 47,
+    "\u041e\u0442\u043c\u0435\u043d\u0438\u043b\u0438 \u0437\u0430\u043a\u0430\u0437": 32,
+    "\u041f\u043b\u0430\u0442\u0435\u0436\u0438": 48,
+    "\u041f\u0440\u0438\u0432\u0435\u0437\u043b\u0438 \u0447\u0443\u0436\u043e\u0439 \u0437\u0430\u043a\u0430\u0437": 34,
+    "\u041f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0437\u0430\u0432\u0438\u0441\u0430\u0435\u0442": 42,
+    "\u041f\u0440\u043e\u0441\u0440\u043e\u0447\u0435\u043d\u043d\u044b\u0435 \u0442\u043e\u0432\u0430\u0440\u044b": 15,
+    "\u0420\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u044b\u0435 \u043e\u043f\u043e\u0437\u0434\u0430\u043d\u0438\u044f": 3,
+    "\u0421\u0431\u0435\u0440\u0421\u043f\u0430\u0441\u0438\u0431\u043e": 45,
+    "\u0421\u043a\u0438\u0434\u043a\u0430/\u043f\u0440\u043e\u043c\u043e\u043a\u043e\u0434 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043d\u0435 \u043d\u0430 \u0432\u0441\u0435 \u0442\u043e\u0432\u0430\u0440\u044b": 24,
+    "\u0421\u043a\u0438\u0434\u043a\u0438 \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u043e\u044f\u043d\u043d\u044b\u0445 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432": 22,
+    "\u0421\u043a\u0438\u0434\u043a\u0438 \u0437\u0430 \u043e\u043f\u043e\u0437\u0434\u0430\u043d\u0438\u0435": 37,
+    "\u0421\u043f\u0430\u0441\u0438\u0431\u043e": 18,
+    "\u0421\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u044e\u0442 \u0441 \u043a\u043e\u043d\u043a\u0443\u0440\u0435\u043d\u0442\u0430\u043c\u0438": 36,
+    "\u0421\u0443\u043c\u043c\u0430 \u0437\u0430\u043a\u0430\u0437\u0430 \u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \u0432\u043e \u0432\u0440\u0435\u043c\u044f \u043d\u0430\u0431\u043e\u0440\u0430 \u043a\u043e\u0440\u0437\u0438\u043d\u044b": 9,
+    "\u0422\u043e\u0432\u0430\u0440 \u0438\u0441\u043f\u043e\u0440\u0447\u0435\u043d \u0432\u043e \u0432\u0440\u0435\u043c\u044f \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438": 14,
+    "\u0422\u043e\u0432\u0430\u0440\u044b \u0441 \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u043c \u0441\u0440\u043e\u043a\u043e\u043c \u0433\u043e\u0434\u043d\u043e\u0441\u0442\u0438": 11,
+    "\u0423\u0441\u043b\u043e\u0432\u0438\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u043a\u0443\u0440\u044c\u0435\u0440\u043e\u0432": 44
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 8194,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 46166
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38cc9d07cb0f9d195445899ca599846bfed471532f03ff449bb7bb2d3e94d883
+size 1436359992

sentencepiece.bpe.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1538f6a9b7588645542db5c84f16c0b8e00a93ba9dbef13792ea065bdda403fb
+size 1042866

special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,62 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "46165": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "max_length": 512,
+  "model_max_length": 8192,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "stride": 0,
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}