Instructions to use alger-ia/dziribert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alger-ia/dziribert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alger-ia/dziribert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alger-ia/dziribert") model = AutoModelForMaskedLM.from_pretrained("alger-ia/dziribert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from alger-ia/dziribert: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/alger-ia/dziribert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://alger-ia/dziribert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alger-ia/dziribert/resolve/main/pytorch_model.bin
498 MB
- Xet hash:
- 0172082bd7ec39d870ae791b788e7a9483c19b3c24e47d2465ff8c11af6dd63e
- Size of remote file:
- 498 MB
- SHA256:
- 0717245dc2d2aa9108bb5266e2541a7df0a11467265e746d4972532e9876d084
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