Text Classification
Transformers
PyTorch
Russian
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Fruha/UmoreskiAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fruha/UmoreskiAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fruha/UmoreskiAI")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fruha/UmoreskiAI") model = AutoModelForSequenceClassification.from_pretrained("Fruha/UmoreskiAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fruha/UmoreskiAI: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/Fruha/UmoreskiAI/resolve/main/training_args.bin
- Command line
-
hf download hf://Fruha/UmoreskiAI/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fruha/UmoreskiAI/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- e5108781eb35a5ea92995ec9a305b396a44464de298151c877447e2df8788d79
- Size of remote file:
- 3.52 kB
- SHA256:
- 275b55bb46bbf4eab5dae16d7848a8a0d08f01158351c6c7a50e8e7fd0a92444
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