Instructions to use RabotaRu/HRBert-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RabotaRu/HRBert-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="RabotaRu/HRBert-mini")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("RabotaRu/HRBert-mini") model = AutoModelForMaskedLM.from_pretrained("RabotaRu/HRBert-mini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23a3e8d074607a8ac6eb4500faa2e12d6b31178579beb890251af12cd7246c07
- Size of remote file:
- 321 MB
- SHA256:
- cb723ea01cb97ca3041bd5a345502a97adf43f1065b0babd687007e1b80fa4e4
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