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
File size: 129 Bytes
4c73926 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:92c137ab9c34392d3ffb8b36c24d8ef87feb9dbf577a258036912067a0eeee71
size 4920
|