Instructions to use doublecringe123/lenta-ru-sentiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doublecringe123/lenta-ru-sentiments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="doublecringe123/lenta-ru-sentiments")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("doublecringe123/lenta-ru-sentiments") model = AutoModelForSequenceClassification.from_pretrained("doublecringe123/lenta-ru-sentiments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
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runs/Jul02_19-33-54_f185e5a93ae1/events.out.tfevents.1719948892.f185e5a93ae1.24.0
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training_args.bin
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