Instructions to use Hartunka/bert_base_rand_20_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/bert_base_rand_20_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DistilBertForLDAMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_rand_20_v1") model = DistilBertForLDAMaskedLM.from_pretrained("Hartunka/bert_base_rand_20_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature606ed1c -
Model save
Verified signaturef60e5e1 -
Training in progress, step 59550
Verified signature13d69be -
Training in progress, step 50000
Verified signature6c83759 -
Training in progress, step 40000
Verified signaturef01e6e6 -
Training in progress, step 30000
Verified signature10eb392 -
Training in progress, step 20000
Verified signature57ac9ee
-
Training in progress, step 10000
Verified signatured9aa44b
-
End of training
Verified signature966ad7e -
Model save
Verified signature3c171e3 -
Training in progress, step 59550
Verified signatureefd3a07 -
End of training
Verified signatureb2cca19 -
Model save
Verified signature5eeabc9 -
Training in progress, step 59550
Verified signature1545df1 -
Training in progress, step 50000
Verified signature93cce78 -
Training in progress, step 50000
Verified signature3ee1670 -
Training in progress, step 40000
Verified signaturefd9d8a6 -
Training in progress, step 40000
Verified signature766177a -
Training in progress, step 30000
Verified signature1858a0f -
Training in progress, step 30000
Verified signaturee9ded95 -
Training in progress, step 20000
Verified signaturedfd1103 -
Training in progress, step 20000
Verified signatured8220f0 -
Training in progress, step 10000
Verified signature5f0de19 -
Training in progress, step 10000
Verified signature034d364 -
initial commit
Verified signaturebb779c7