Instructions to use fathan/indojave-codemixed-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fathan/indojave-codemixed-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fathan/indojave-codemixed-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fathan/indojave-codemixed-bert-base") model = AutoModelForMaskedLM.from_pretrained("fathan/indojave-codemixed-bert-base") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 283500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498043179
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08f294bf470064e46185ef98c6efd3bd3a4efdd11f9425f9ef46c74aff31df95
|
| 3 |
size 498043179
|
runs/Feb11_05-10-24_cds-tesla/events.out.tfevents.1676067335.cds-tesla.527120.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aacac2fc9600390bce4a3a106d83b718fe1a05694cc4ae9b6b59f9e0dfffd7a5
|
| 3 |
+
size 94303
|