Instructions to use anaaulian19/ROS-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anaaulian19/ROS-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anaaulian19/ROS-text-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anaaulian19/ROS-text-classification") model = AutoModelForSequenceClassification.from_pretrained("anaaulian19/ROS-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
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 442280976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66c2f7d9c6094ba2f2fc76c86a9311877c6160526a434d881b1a52e05ae52725
|
| 3 |
size 442280976
|