Text Classification
Transformers
TensorBoard
Safetensors
Russian
bert
Trained with AutoTrain
russia
job
text-embeddings-inference
Instructions to use MrAlexGov/vacancy-classifier-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrAlexGov/vacancy-classifier-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrAlexGov/vacancy-classifier-ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrAlexGov/vacancy-classifier-ru") model = AutoModelForSequenceClassification.from_pretrained("MrAlexGov/vacancy-classifier-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MrAlexGov/vacancy-classifier-ru: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/MrAlexGov/vacancy-classifier-ru/resolve/main/training_args.bin
- Command line
-
hf download hf://MrAlexGov/vacancy-classifier-ru/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MrAlexGov/vacancy-classifier-ru/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 7d69f3caab026baaed2dfc624724ff9c2321d14952a53bf16c0b48da4a5bc83f
- Size of remote file:
- 5.37 kB
- SHA256:
- 0c1969a1d079c3076e5353475e77ce40b390edfd550e8c9316fa2349d7254f0e
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