Instructions to use Hartunka/bert_base_rand_50_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/bert_base_rand_50_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForLDAMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_rand_50_v2") model = DistilBertForLDAMaskedLM.from_pretrained("Hartunka/bert_base_rand_50_v2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 59550
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 440592016
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e15c94ae9001e9358be8180dede33575f38211623aee656aed6f2d4aad996f1f
|
| 3 |
size 440592016
|