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
Commit ·
6544d96
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Parent(s): 43f4c15
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:fea8fbb1426ad77b7739b09d8dc48a976e753f63adfe0ecde1179b70b317d6f5
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size 711430206
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