Instructions to use MiMe-MeMo/Dialogue_dfm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiMe-MeMo/Dialogue_dfm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MiMe-MeMo/Dialogue_dfm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MiMe-MeMo/Dialogue_dfm") model = AutoModelForTokenClassification.from_pretrained("MiMe-MeMo/Dialogue_dfm") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Oct22_19-06-49_babc088be480/events.out.tfevents.1729624115.babc088be480.4217.2
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 sha256:4ef49ce4ccf9b65bef36d6a8d5ba70a84689ffc39af92137b7cd10ce10d0144c
|
| 3 |
+
size 1014
|