Instructions to use tahrirchi/tahrirchi-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tahrirchi/tahrirchi-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tahrirchi/tahrirchi-bert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tahrirchi/tahrirchi-bert-base") model = AutoModelForMaskedLM.from_pretrained("tahrirchi/tahrirchi-bert-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tahrirchi/tahrirchi-bert-base: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/tahrirchi/tahrirchi-bert-base/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://tahrirchi/tahrirchi-bert-base@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tahrirchi/tahrirchi-bert-base/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- b1c7dc2eef4d009df8107183ce7d4ac041b2b92db099d0cb4ae4767ab8548dee
- Size of remote file:
- 438 MB
- SHA256:
- 3acce8cf9164cecd4de50452af90617db90f24b7570230359504e2cc59649405
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