Instructions to use NbAiLab/roberta_des_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_des_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_des_128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_des_128") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_des_128") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 70000
Browse files
events.out.tfevents.1642107749.t1v-n-e1a08808-w-0.1558645.0.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:b6b3e0536b68da4ee47b9448ee77451aecc0bb08712e053a421372108f6c17c4
|
| 3 |
+
size 10398642
|
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 sha256:4bc832a654f0b75beffa26c2cbf0006502c3de3d405e0a57629d0449354004e7
|
| 3 |
size 498796983
|