Instructions to use Hartunka/distilbert_rand_10_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/distilbert_rand_10_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DistilBertForLDAMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hartunka/distilbert_rand_10_v2") model = DistilBertForLDAMaskedLM.from_pretrained("Hartunka/distilbert_rand_10_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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