Instructions to use alex-miller/ODABert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alex-miller/ODABert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alex-miller/ODABert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alex-miller/ODABert") model = AutoModelForMaskedLM.from_pretrained("alex-miller/ODABert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 171000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 673136528
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:12fef1be724c30f4bbba454c68d2d85dff98ac3e165caad5636329317ab0fb12
|
| 3 |
size 673136528
|
runs/Mar12_11-38-03_150-136-188-116/events.out.tfevents.1710243484.150-136-188-116.2531.0
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 sha256:4f5e56859c807db968ec247c90ea505d2b079bfacc00f9d3111586fbb96b2d64
|
| 3 |
+
size 78780
|