Instructions to use MikeGreen2710/structure_focus_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MikeGreen2710/structure_focus_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MikeGreen2710/structure_focus_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MikeGreen2710/structure_focus_model") model = AutoModelForSequenceClassification.from_pretrained("MikeGreen2710/structure_focus_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload RobertaForSequenceClassification
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1476713628
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09c808bc52b7ca45a88ba1da651a6c171365333fc058bea21c5899ffdb14a36f
|
| 3 |
size 1476713628
|