Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AlexStepanenko/secret-codebert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexStepanenko/secret-codebert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexStepanenko/secret-codebert-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlexStepanenko/secret-codebert-classifier") model = AutoModelForSequenceClassification.from_pretrained("AlexStepanenko/secret-codebert-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AlexStepanenko/secret-codebert-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/AlexStepanenko/secret-codebert-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://AlexStepanenko/secret-codebert-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AlexStepanenko/secret-codebert-classifier/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 5afddc2e230e8fc060b415efb31d40b5582dec4d14d3ffafad5c5a176d88d2c1
- Size of remote file:
- 5.3 kB
- SHA256:
- 1142b95a707165df61d78b3bc8ecf68db12af1aac73c3a3e92b1de0881d4dec3
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