Instructions to use Hartunka/bert_base_rand_10_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/bert_base_rand_10_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DistilBertForLDAMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_rand_10_v1") model = DistilBertForLDAMaskedLM.from_pretrained("Hartunka/bert_base_rand_10_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 30000
Browse files- model.safetensors +1 -1
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