Instructions to use roborovski/phi-2-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roborovski/phi-2-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roborovski/phi-2-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roborovski/phi-2-classifier") model = AutoModelForSequenceClassification.from_pretrained("roborovski/phi-2-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
446440b
1
Parent(s): 5cdea03
Training in progress, epoch 46
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 496831605
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d3101bd70de94340545ba20b71e5991226d6228e18a251de8c79e115b49ca00
|
| 3 |
size 496831605
|