Instructions to use gijs/roberta-large-aces with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gijs/roberta-large-aces with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gijs/roberta-large-aces")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gijs/roberta-large-aces") model = AutoModelForTokenClassification.from_pretrained("gijs/roberta-large-aces") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1417420909
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8aaf7b6b5a3e0932dc64107f9b96e2459364f3995b9aab71475668bd294a2052
|
| 3 |
size 1417420909
|
runs/Dec23_15-21-11_gou-5-tn4qq/events.out.tfevents.1671805284.gou-5-tn4qq.563552.0
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 sha256:9a2a6da9d7b96b1f1fbf0c1839d702940d6b66710aef9c9d51402bff0d1910e4
|
| 3 |
+
size 12148
|