Instructions to use sismetanin/rubert_conversational-ru-sentiment-rureviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sismetanin/rubert_conversational-ru-sentiment-rureviews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sismetanin/rubert_conversational-ru-sentiment-rureviews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sismetanin/rubert_conversational-ru-sentiment-rureviews") model = AutoModelForSequenceClassification.from_pretrained("sismetanin/rubert_conversational-ru-sentiment-rureviews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sismetanin/rubert_conversational-ru-sentiment-rureviews: direct link, hf CLI and curl.
- Browser
- Download file 712 MB
-
https://huggingface.co/sismetanin/rubert_conversational-ru-sentiment-rureviews/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sismetanin/rubert_conversational-ru-sentiment-rureviews/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sismetanin/rubert_conversational-ru-sentiment-rureviews/resolve/main/pytorch_model.bin
712 MB
- Xet hash:
- 4b4b35a5366719353f2415435340f0a980590c3443e8dd100828915cae573a8a
- Size of remote file:
- 712 MB
- SHA256:
- efa3b0d634440fedf3b724e7c8ac68e508d247aa69240e7ffe345034cf4808e3
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