Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AlexxxSem/distilbert-12-classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexxxSem/distilbert-12-classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexxxSem/distilbert-12-classes")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlexxxSem/distilbert-12-classes") model = AutoModelForSequenceClassification.from_pretrained("AlexxxSem/distilbert-12-classes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AlexxxSem/distilbert-12-classes: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/AlexxxSem/distilbert-12-classes/resolve/main/training_args.bin
- Command line
-
hf download hf://AlexxxSem/distilbert-12-classes/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AlexxxSem/distilbert-12-classes/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- c45903f16258f0d11f88569b0ea6914b01c5745d319a44ebf07ca390fe98d3dc
- Size of remote file:
- 4.66 kB
- SHA256:
- dde258b5ac622e8eaf0d2cae5823a32666ca3ed59fc4ddb57da8aa551ce43353
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