Instructions to use bencyc1129/art-bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bencyc1129/art-bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bencyc1129/art-bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bencyc1129/art-bert-base-cased") model = AutoModelForMaskedLM.from_pretrained("bencyc1129/art-bert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 370513400
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fff4e44bf6d413d347595fffd4f015950fd3948c332be6f8bbb84c76cf458189
|
| 3 |
size 370513400
|
runs/Apr15_04-54-17_939fcec28df8/events.out.tfevents.1713156858.939fcec28df8.18833.0
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:cad00284f564dd633b11789f8673b10af920e2257a26d3f5327ccf85a1f202ca
|
| 3 |
+
size 4603
|
runs/Apr15_04-54-28_939fcec28df8/events.out.tfevents.1713156869.939fcec28df8.18833.1
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 sha256:5c77960889aa2172de75ddc6ddcf169a11d8cd376f2a445c787a9f5f8079bb03
|
| 3 |
+
size 6050
|