Instructions to use NbAiLab/roberta_jan_512_ncc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_jan_512_ncc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_jan_512_ncc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_jan_512_ncc") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_jan_512_ncc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 850000
Browse files
events.out.tfevents.1645234163.t1v-n-c7babd08-w-0.12401.0.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:f37656056b85307e129b5dc1f525918051d1ea5a4eb1236a3b8e55394e971406
|
| 3 |
+
size 116004773
|
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 sha256:17ce4d5cb571caf9e4fd89383e6872e5bb5b878bdd379eb22ab15c015d54417d
|
| 3 |
size 498796983
|