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 pytorch_model.bin from Fruha/UmoreskiAI: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/Fruha/UmoreskiAI/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Fruha/UmoreskiAI/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Fruha/UmoreskiAI/resolve/main/pytorch_model.bin
711 MB
- Xet hash:
- c65e7ea4f74e32b4feb91f01fd67bc77d65ec707122836df09eda09bcc9dfb8e
- Size of remote file:
- 711 MB
- SHA256:
- 76f772d7a559b9d4a32e3e185b2f89350b33e2de5e2a72b0e89dbd174d49309a
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