Instructions to use 0x7o/tiny-rubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x7o/tiny-rubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="0x7o/tiny-rubert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("0x7o/tiny-rubert") model = AutoModelForSequenceClassification.from_pretrained("0x7o/tiny-rubert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5a6c1bffa2186e09c7ecb7e768c4fb995718187e156614a211ff0b0917b6396
- Size of remote file:
- 4.92 kB
- SHA256:
- 92c137ab9c34392d3ffb8b36c24d8ef87feb9dbf577a258036912067a0eeee71
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