Instructions to use NbAiLab/roberta_jan_128_ncc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_jan_128_ncc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_jan_128_ncc")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_jan_128_ncc") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_jan_128_ncc") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 183000
Browse files
events.out.tfevents.1643149905.t1v-n-ccbf3e94-w-0.2231714.3.v2
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 sha256:453f935a6e569b0dd8f3c60df6a85197c939dbc1f66b007f528c57fbbbdb5f39
|
| 3 |
+
size 26699855
|
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498796983
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:797c00fca103d947b8ab3faa9c8253c263c96292944bbec6c166d14856a51990
|
| 3 |
size 498796983
|