Instructions to use Hartunka/bert_base_km_5_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/bert_base_km_5_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForLDAMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_km_5_v2") model = DistilBertForLDAMaskedLM.from_pretrained("Hartunka/bert_base_km_5_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50000
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 440453596
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7621f9ecf8bba4f6445b5f8d67c016b1a68f43b67bb5e08e4ed9b3f42541562c
|
| 3 |
size 440453596
|