Instructions to use asheads/PredreamBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asheads/PredreamBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="asheads/PredreamBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("asheads/PredreamBERT") model = AutoModelForMaskedLM.from_pretrained("asheads/PredreamBERT") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267982639
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bb7416535fafbe0b0a4c417518dc6047e5b0865ce6c813b5f16fca6ff5b107bb
|
| 3 |
size 267982639
|
runs/Feb15_01-39-32_30ea567f7460/events.out.tfevents.1644889186.30ea567f7460.80.4
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:fd9d38f836678de1ff60aca77ddea937131025385e0e5e42ab01ae2d3c5e87a3
|
| 3 |
+
size 4864
|