Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use kmamaroziqov/kaz-roberta-base_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmamaroziqov/kaz-roberta-base_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kmamaroziqov/kaz-roberta-base_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kmamaroziqov/kaz-roberta-base_classification") model = AutoModelForSequenceClassification.from_pretrained("kmamaroziqov/kaz-roberta-base_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kmamaroziqov/kaz-roberta-base_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/kmamaroziqov/kaz-roberta-base_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://kmamaroziqov/kaz-roberta-base_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kmamaroziqov/kaz-roberta-base_classification/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 8cc3f00c21576632a75e78494bb200dcfaf6c95584f8c7841638d10ff5e8cf61
- Size of remote file:
- 5.18 kB
- SHA256:
- dd2d08ad0178bcd7122e38d597d8ab23c3334b7a5d9d7f4a4332225ce7e8637b
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