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 128000
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:fe708d98f43068fdbf0d0238aa7905f86d213caf2a0cac9fc959f7333e494c9c
|
| 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 sha256:89597e69edba874dbb619f64b925aee9e2eb344fe4e9dbf8f93de1ef85838f47
|
| 3 |
+
size 45013
|