Text Classification
Transformers
Safetensors
Hebrew
bert
intent-classification
hebrew
alephbert
shopping
text-embeddings-inference
Instructions to use spivi87/alephbert-intent-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spivi87/alephbert-intent-he with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spivi87/alephbert-intent-he")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spivi87/alephbert-intent-he") model = AutoModelForSequenceClassification.from_pretrained("spivi87/alephbert-intent-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from spivi87/alephbert-intent-he: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/spivi87/alephbert-intent-he/resolve/main/tokenizer.json
- Command line
-
hf download hf://spivi87/alephbert-intent-he/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/spivi87/alephbert-intent-he/resolve/main/tokenizer.json
1.37 MB
File too large to display, you can check the raw version instead.