Text Classification
Transformers
Safetensors
Russian
English
bert
tiny-bert
rubert-tiny2
binary-classification
jobs
vacancy-classification
it-classification
non-it-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use AndreiTolmachev/it-vs-nonit-roles-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndreiTolmachev/it-vs-nonit-roles-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AndreiTolmachev/it-vs-nonit-roles-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AndreiTolmachev/it-vs-nonit-roles-tiny") model = AutoModelForSequenceClassification.from_pretrained("AndreiTolmachev/it-vs-nonit-roles-tiny") - Notebooks
- Google Colab
- Kaggle
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