Instructions to use versae/roberta-base-ncc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/roberta-base-ncc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="versae/roberta-base-ncc")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("versae/roberta-base-ncc") model = AutoModelForMaskedLM.from_pretrained("versae/roberta-base-ncc") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 127000
Browse files
events.out.tfevents.1642203685.t1v-n-eedfb410-w-0.10537.0.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:c9757245a55aa9a78a32897912195fe820a0b69f5d51b829e3ebc89370f2dc20
|
| 3 |
+
size 18909736
|
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 sha256:038cd01992f366c31c13e8fb4e7e6cffd745384170558a0e4eb5239bf77c8554
|
| 3 |
size 498796983
|