Instructions to use ahmedabdelali/bert-base-qarib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedabdelali/bert-base-qarib with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ahmedabdelali/bert-base-qarib")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ahmedabdelali/bert-base-qarib") model = AutoModelForMaskedLM.from_pretrained("ahmedabdelali/bert-base-qarib") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 819a4f5d5c2232161a22aa206f1cc8f9b9b373907d014434a3a5682970f5ff64
- Size of remote file:
- 541 MB
- SHA256:
- 9f36a5349f39a66d5cb3ceb3d1db2a6a6de7c9c866237f2c2919e5b749f619f7
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