Instructions to use JS47/ElectraMaskedLM_Wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JS47/ElectraMaskedLM_Wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JS47/ElectraMaskedLM_Wiki")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JS47/ElectraMaskedLM_Wiki") model = AutoModelForMaskedLM.from_pretrained("JS47/ElectraMaskedLM_Wiki") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 64000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 54261249
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ceb352f149878448e42816dcdd6a6e4df15f8cf4eeda328d1f27083beff80228
|
| 3 |
size 54261249
|
runs/Dec15_18-18-23_22b406c6fae3/events.out.tfevents.1671128359.22b406c6fae3.76.0
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 sha256:256c9a00103ff9abedd79f123c7e5610b7f49c5273f5cfaa60b100ffd0d95b9e
|
| 3 |
+
size 24257
|