Instructions to use KheireddineDaouadi/ZeroAraElectra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KheireddineDaouadi/ZeroAraElectra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="KheireddineDaouadi/ZeroAraElectra")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KheireddineDaouadi/ZeroAraElectra") model = AutoModelForSequenceClassification.from_pretrained("KheireddineDaouadi/ZeroAraElectra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KheireddineDaouadi/ZeroAraElectra: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/KheireddineDaouadi/ZeroAraElectra/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KheireddineDaouadi/ZeroAraElectra/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KheireddineDaouadi/ZeroAraElectra/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- ed690a05709a14958f1b621a40caece5deb74d25b7b0b1a56cf824a4d0a5c154
- Size of remote file:
- 541 MB
- SHA256:
- cdd42e2ffe89d6382d8e1ab89842b25d3b8cb53bad5687f37f539818e7815ba5
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