Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ridho2401/sa-tapera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ridho2401/sa-tapera with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ridho2401/sa-tapera")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ridho2401/sa-tapera") model = AutoModelForSequenceClassification.from_pretrained("ridho2401/sa-tapera", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ridho2401/sa-tapera: direct link, hf CLI and curl.
- Browser
- Download file 738 kB
-
https://huggingface.co/ridho2401/sa-tapera/resolve/main/tokenizer.json
- Command line
-
hf download hf://ridho2401/sa-tapera/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ridho2401/sa-tapera/resolve/main/tokenizer.json
738 kB
File too large to display, you can check the raw version instead.