Instructions to use NbAiLab/roberta_NCC_des_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_NCC_des_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_NCC_des_128", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_NCC_des_128") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_NCC_des_128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 270000
Browse files
events.out.tfevents.1640779990.t1v-n-358ff5d1-w-0.2119930.3.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:a111c1c5702a0d775ab72ffe52872b4fec20d3ea579a03051cbc14ed02b2e249
|
| 3 |
+
size 38932508
|
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 sha256:15940b53dbdff7448fc491c2041891d90f86e8ebebc9509af9f561984eba0029
|
| 3 |
size 498796983
|