Instructions to use egerber1/sap_predictions_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egerber1/sap_predictions_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="egerber1/sap_predictions_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("egerber1/sap_predictions_model") model = AutoModelForSequenceClassification.from_pretrained("egerber1/sap_predictions_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13974
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 1130645660
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:10b36c7a9b9a863895d313eeba892716e8494186b61a56d6b1e79cf5e9ea4e79
|
| 3 |
size 1130645660
|