Instructions to use guyyanko/split-3-hebrew-trc-alephbert-base-EMP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guyyanko/split-3-hebrew-trc-alephbert-base-EMP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="guyyanko/split-3-hebrew-trc-alephbert-base-EMP", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("guyyanko/split-3-hebrew-trc-alephbert-base-EMP", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from guyyanko/split-3-hebrew-trc-alephbert-base-EMP: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/guyyanko/split-3-hebrew-trc-alephbert-base-EMP/resolve/main/tokenizer.json
- Command line
-
hf download hf://guyyanko/split-3-hebrew-trc-alephbert-base-EMP/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/guyyanko/split-3-hebrew-trc-alephbert-base-EMP/resolve/main/tokenizer.json
1.37 MB
File too large to display, you can check the raw version instead.