Instructions to use Ridhwan/locum_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ridhwan/locum_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ridhwan/locum_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ridhwan/locum_classification") model = AutoModelForSequenceClassification.from_pretrained("Ridhwan/locum_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
deleted runs
Browse files
runs/Feb20_02-45-43_Ridhwan/1676832350.6483881/events.out.tfevents.1676832350.Ridhwan.23024.6
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:e6fd3dca3fb2fae33639f35c96dddbf5887a9837b4ef4513bcb92e4d6cb20b43
|
| 3 |
-
size 5719
|
|
|
|
|
|
|
|
|
|
|
|
runs/Feb20_02-45-43_Ridhwan/events.out.tfevents.1676832350.Ridhwan.23024.5
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:7c56b19d7335df48f14faefc9f33f288c12bf5d89ee9130de86ed916df131102
|
| 3 |
-
size 11294
|
|
|
|
|
|
|
|
|
|
|
|