Instructions to use avichr/heBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avichr/heBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="avichr/heBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("avichr/heBERT") model = AutoModelForMaskedLM.from_pretrained("avichr/heBERT", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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heBERT oscar based v0.1
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beta version of heBERT model and tokenizer.
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