pasukka/auto-filters-term-classifier-v.0.2

Model Card for Model ID

Model Details

Model Description

• Language(s) (NLP): Russian
• License: apache-2.0
• Finetuned from model: ai-forever/ruRoberta-large

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification

model = AutoModelForSequenceClassification.from_pretrained("pasukka/auto-filters-term-classifier-v.0.2")
tokenizer = AutoTokenizer.from_pretrained('ai-forever/ruRoberta-large')

term = 'фильтр топливный'
outputs = model.forward(**tokenizer(term, return_tensors='pt').to(device='cuda'))
id = outputs.logits.argmax(dim=1)[0].item()

print(model.config.id2label[id])

Result:

фильтр

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

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

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary